CIC23 PRELIMINARY PROGRAM. Twenty-third Color and Imaging Conference. October 19-23, 2015 Darmstadt, Germany

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1 CIC23 October 19-23, 2015 Darmstadt, Germany Twenty-third Color and Imaging Conference Color Science and Engineering Systems, Technologies, and Applications PRELIMINARY PROGRAM IS&T imaging.org Sponsored by Society for Imaging Science and Technology

2 October 19 23, 2015 Darmstadt, Germany Table of Contents Sponsors Conference At-a-Glance Venue Information CIC23 Technical Program Short Course Program Short Courses At-a-Glance Hotel and Transportation Info Conference Registration Cooperating Societies Associazione Italiana Colore Comité de Color The Colour Group (Great Britain) Deutsche Gesellschaft für Angewandte Optik, DGaO Flemish Innovation Centre for Graphic Communications VIGC German Society for Color Science and Application (DfwG) Imaging Society of Japan (ISJ) Program Committee Fraunhofer Institute for Computer Graphics Research IGD Hewlett-Packard Company IS&T Sustaining Corporate Members Adobe Systems Inc. Canon Inc. HCL America Hewlett-Packard Company Lexmark International, Inc. Qualcomm Technologies, Inc. Samsung Electronics Company Ltd. Xerox Corporation Inter-Society Color Council (ISCC) IOP Printing and Graphics Science Group Swedish Colour Centre Foundation The Royal Photographic Society of Great Britain Society of Motion Picture and Television Engineers (SMPTE) Society of Photographic Science and Technology of Japan (SPSTJ) General Chair Vien Cheung University of Leeds Technical Program Chairs Michael Murdoch Rochester Institute of Technology Philipp Urban Fraunhofer Institute for Computer Graphics Research IGD JIST/CIC Papers Guest Editors Marius Pedersen Gjøvik University College Maria V. Ortiz Segovia Océ Print Logic Technologies Interactive Paper Chairs Adrià Forés Herranz Apple Inc. Juan Lin Ricoh Americas Corporation Short Course Chairs Jon Yngve Hardeberg Gjøvik University College Ingeborg Tastl, Hewlett-Packard Laboratories Workshop Chairs Jérémie Gerhardt EyeEm Albrecht Lindner Qualcomm Technologies, Inc. AV Chair Renbo Cao North Carolina State University Steering Committee Vien Cheung Jennifer Gille, Qualcomm QTI Suzanne E. Grinnan, IS&T Michael Murdoch Philipp Urban Geoff J. Woolfe, CISRA 2015 Society for Imaging Science and Technology (IS&T).

3 CIC23: Twenty-third Color and Imaging Conference Conference At-a-Glance Monday, October 19 Registration open 8:00 9:00 and 16:30 17:30 Color, Vision, and Basic Colorimetry,* see page 8 Tuesday, October 20 Registration open 7:00 17:45 Short Course Program,* see page 8 Welcome Reception Wednesday, October 21 Registration open 8:00 16:00 Keynote: Reinhard Klein, Possibilities and Limitations of the Bidirectional Texture Function as Appearance Representation Technical Sessions Putting Color to Work Beyond the Rainbow Picture Perfect Conference Reception Thursday, October 22 Registration open 8:30 14:00 Keynote: Paul O Brien, Quantum Dots: New and Exciting Coloured Materials Their Properties and Structures IS&T Honors and Awards Presentations Technical Sessions Colorful Matter Do You See What I See? Interactive Previews Interactive Paper Session Friday, October 23 Registration open 7:30 12:30 Workshops: see page 6 Keynote: Scott White, 3D Printing: Building Rich and Seamless Workflows for Advanced Fabrication Technical Sessions Bright Ideas Best Paper Award Presentations *Separate registration fee required. Conference Venue: Darmstadt, Germany Darmstadt known as The City of Science combines a rich history with a modern atmosphere. It hosts the beautiful Ducal Palace home to the Grand Dukes of Hesse and in the late 19th and early 20th centuries center of the Art Nouveau movement. Many fine architectural examples of this epoch are present today, including the town s landmark Wedding Tower at Mathildenhöhe, Darmstadt s artists colony. The city also boasts three Fraunhofer institutes, the European Space Operation Centre, and the Society for Heavy Ion Research, where various chemical elements were synthesized. One of these elements, Darmstadtium (atomic number 110), was named after the city. The famous Frankenstein Castle is nearby, surrounded by beautiful vineyards and other historic castles. The Rhine is a short train ride away, offering excursions to Lorelei and other famous places. Cover and other images: Suzanne E. Grinnan Fountain located in Darmstadt s Marktplatz; a remaining wall at Castle Frankenstein. The average weather in October is a cool 58 F/45 F (14 C/7 C); rain is likely. Hotel and travel information is found on page 19. 1

4 October 19 23, 2015 Darmstadt, Germany Technical Program 2 Wednesday October 21, :00 10:00 WELCOME AND KEYNOTE Session Chair: Vien Cheung, University of Leeds Possibilities and Limitations of the Bidirectional Texture Function as Appearance Representation, Reinhard Klein, Universität Bonn (Germany) 10:00 12:40 PUTTING COLOR TO WORK Session Chair: Andreas Kraushaar, Fogra Graphic Technology Research Association Spectral and Color Prediction for Arbitrary Halftone Patterns: A Drop-by-Drop, WYSIWYG, Ink on Display Print Preview, Peter Morovic, Ján Morovic, Xavier Fariña, Pere Gasparin, Michel Encrenz, and Jordi Arnabat, Hewlett-Packard Company (Spain) Model-based Design of Recto-Verso Prints Displaying Different Images According to the Illuminated Face, Serge Mazauric, Mathieu Hébert, and Thierry Fournel, Université Jean Monnet de Saint-Etienne (France) Determining Camera Spectral Responsivity with Multispectral Transmission Filters, Lindsay MacDonald, University College London (UK) Hue Plane Preserving Colour Correction Using Constrained Least Squares Regression, Michal Mackiewicz 1, Casper F. Andersen 2, and Graham D. Finlayson 1 ; 1 University of East Anglia (UK) and 2 Gjøvik University College (Norway) Analyzing the Individual Relationship between Habit of UV Protection and Melanin Pigmentation based on the Change of Facial Images for 7 Years, Yuri Tatsuzawa 1, Misa Hirose 1, Nobutoshi Ojima 2, Keiko Ogawa-Ochiai 3, and Norimichi Tsumura 1 ; 1 Chiba University, 2 Kao Corporation, and 3 Kanazawa University Hospital (Japan) OPENING KEYNOTE Possibilities and Limitations of the Bidirectional Texture Function as Appearance Representation Reinhard Klein, Universität Bonn Reproducing the characteristic appearance of materials digitally is of considerable importance for the creation of photorealistic images. A successful approach to capture and represent the appearance of a material is the Bi-directional Texture Functions (BTF), which can be considered as an image based representation and comprises thousands of images that have been taken under various light situations and from different viewpoints. In this talk we report on BTF acquisition devices as well as data compression and rendering techniques for BTFs that were developed at our institute within several research projects on this topic. Special emphasis will be put on the discussion of possibilities and limitations of this kind of representation for different application areas ranging from virtual prototyping to cultural heritage. Hierarchical Integrated Color Matching in a Stereoscopic Image based on Image Decomposition (JIST Paper), Yeong-Ho Ha, Ho-Gun Ha, S. Subhashbas, and B. Choi, Kyungpook National University (Korea) 14:00 15:40 BEYOND THE RAINBOW Session Chair: Philipp Urban, Fraunhofer Institute for Computer Graphics Research IGD An Experimental Study of Fast Multispectral Imaging Using LED Illumination and an RGB Camera, Raju Shrestha and Jon Yngve Hardeberg, Gjøvik University College (Norway)

5 CIC23: Twenty-third Color and Imaging Conference Iterative Spectral Edge Image Fusion, Graham D. Finlayson and Alex E. Hayes, University of East Anglia and Spectral Edge Ltd. (UK) Adaptive Registration of Multi-Spectral Line-Scan Image Data for Measurement of Objects with 3D Surface Structure, Timo Eckhard, Jia Eckhard, Eva M. Valero, and Javier Hernández-Andrés, University of Granada (Spain) Reproduction of Reflective and Fluorescent Components Using Eight-Band Imaging, Masaru Tsuchida, Minoru Mori, Kunio Kashino, and Junji Yamato, NTT Communication Science Laboratories (Japan) Spatio-Spectral Gamut Mapping and Separation (JIST Paper), Sepideh Samadzadegan, Technische Universität Darmstadt, and Philipp Urban, Fraunhofer Institute for Computer Graphics Research IGD (Germany) 16:20 17:20 PICTURE PERFECT Session Chair: Michael Murdoch, Rochester Institute of Technology Distinct Contrast in CIECAM02 for Mobile Display, Wang-Jun Kyung, Bong-Seok Choi, Ji-Hoon Yoo, and Yeong-Ho Ha, Kyungpook National University (Korea) Robust Chroma and Lightness Descriptors, Hamidreza Mirzaei and Brian Funt, Simon Fraser University (Canada) Measuring Relative Image Contrast of Projection Displays (JIST Paper), Ping Zhao 1, Marius Pedersen 1, Jean-Baptiste Thomas 2, and Jon Hardeberg 1 ; 1 Gjøvik University College (Norway) and 2 Université de Bourgogne (France) 19:30 21:30 CONFERENCE RECEPTION Thursday October 22, :00 10:00 THURSDAY KEYNOTE AND IS&T AWARDS Session Chair: Vien Cheung, University of Leeds Quantum Dots: New and Exciting Coloured Materials Their Properties and Structures, Paul O Brien, University of Manchester (UK) 10:00 12:20 COLORFUL MATTER Session Chair: Marcel Lucassen, Philips Research Eindhoven A Computer Aided Color Appearance Design System for Metallic Car Paint (JIST Paper), Clement Shimizu and Gary Meyer, University of Minnesota (USA) Yarn Colour Measurement and Reproduction by Multispectral Imaging System (JIST Paper), Isabella Tang and John Xin, Hong Kong Polytechnic University (Hong Kong, China) Bispectral Interreflection Estimation of Fluorescent Objects, Shoji Tominaga, Keiji Kato, Keita Hirai, and Takahiko Horiuchi, Chiba University (Japan) Multi-Color Properties of Silver Glaze Images Photo-Engraved on Glass Plates, Juan Martínez-García, Mathieu Hébert, Alain THURSDAY KEYNOTE Quantum Dots: New and Exciting Coloured Materials Their Properties and Structures Paul O Brien, University of Manchester The origin of colour in quantum dots will be discussed in simple and more complicated systems. The history of the area will be briefly surveyed as will their potential for technological application. 3

6 October 19 23, 2015 Darmstadt, Germany Trémeau, Nicolas Crespo-Monteiro, and Nathalie Destouches, Université Jean-Monnet (France) Colour Contrast Occurrence Matrix: A Vector and Perceptual Texture Feature, Armando R. Martinez 1,2, Noel Richard 1, and Christine Fernandez-Maloigne 1 ; 1 University of Poitiers (France) and 2 Instituto Politécnico Nacional (Mexico) 14:00 15:20 DO YOU SEE WHAT I SEE? Session Chair: Maria Vanrell, Universitat Autònoma de Barcelona A Spectral-based Color Vision Deficiency Model Compatible with Dichromacy and Anomalous Trichromacy, Hiroaki Kotera, Kotera Imaging Laboratory (Japan) Investigation of Memory Colours Across Cultures, Yuteng Zhu 1, M. Ronnier Luo 1, 2, Lihao Xu 1, Xiaoyu Liu 1,3, Guihua Cui 4, Sebastian Fischer 5, Peter Bodrogi 5, and Tran Quoc Khanh 5 ; 1 Zhejiang University (China), 2 University of Leeds (UK), 3 Harbin Engineering University (China), 4 Wenzhou University (China), and 5 Technical University Darmstadt (Germany) A Meta-Analysis of Color Palettes for Protans and Deutans not Using Dichromatic Simulation Methods based on RGB Space, Takashi Sakamoto, National Institute of Advanced Industrial Science and Technology (AIST) (Japan) Focusness Extraction from Image Using Saliency for Automatic Camera Control, Satomi Tanaka, Chiba University (Japan) EXHIBIT AT CIC23! Interested in exhibiting or sponsoring an event at CIC? Exhibit space is limited; contact Donna Smith to learn more about exhibits and sponsorship opportunities at dsmith@imaging.org. 15:20 16:00 TWO-MINUTE INTERACTIVE PAPER PREVIEWS Session Chair: Adrià Forés Herranz, Apple Inc., and Juan Lin, Ricoh Americas Corp. Color Reproduction of Digital Camera Systems Using LED Spotlight Illumination, Sebastian Fischer and Tran Q. Khanh, Technical University Darmstadt (Germany) The Study of Cognitively Required Bit-Depth on Commercial TV with High Dynamic Range, Yuhoon Kim, Sungjin Bang, Seunghyun Kim, Jungsub Hwang, and Jang-un Kwon, LG Display (Korea) Fast and Accurate 3D Rendering of Automotive Coatings, Eric Kirchner and Ivo van der Lans, AkzoNobel (the Netherlands); Alejandro Ferrero and Joaquín Campos, Consejo Superior de Investigaciones Científicas (Spain); and Francisco M. Martínez-Verdú and Esther Perales, University of Alicante (Spain) Nonlinear Estimation of Chromophore Concentrations, Shading and Surface Reflectance from Five Band Images, Misa Hirose and Norimichi Tsumura, Chiba University (Japan) Critical Spectra in the Color Reproduction Process of Digital Motion Picture Cameras, Manuel Leonhardt, Hochschule Furtwangen, and Harald Brendel, Arnold & Richter Cine Technik (Germany) Robust Color Extrapolation with Median Matrices, Nathan Moroney, Ingeborg Tastl, and Melanie Gottwals, Hewlett-Packard Laboratories (USA) Influence of the Effect Pigment Size on the Sparkle Detection Distance, Omar Gómez, Esther Perales, Elísabet Chorro, Valentín Viqueira, and Francisco M. Martínez-Verdú, University of Alicante, and Alejandro Ferrero and J. Campos, Consejo Superior de Investigaciones Científicas (CSIC) (Spain) Comparing Spectrophotometry and Photography with Hyperspectral Imaging for Pigments Characterization on Paintings, Anita Hayem-Ghez 1,2,3, Clotilde Boust 1, 4

7 CIC23: Twenty-third Color and Imaging Conference AUTHOR DEMONSTRATIONS This year CIC is pleased to include author demonstrations during which CIC authors may choose to demonstrate software, hardware, or products related to their talk. These demonstrations will occur during the conference coffee breaks. More details will be provided closer to the event. Elisabeth Ravaud 1, Gilles Bastian 1, Nancy Brodie-Linder 2, and Michel Menu 1 ; 1 Centre de Recherche et de Restauration des Musées de France, 2 Laboratoire de Chimie Biologique, and 3 Fondation des Sciences du Patrimoine (France) Interactive Illumination Invariance, Han Gong and Graham Finlayson, University of East Anglia (UK) Gloss and Material Constancy in the Change of Light Source Size, Masanori Maki 1, Ryota Domon 1, Shoji Yamamoto 2, and Norimichi Tsumura 1 ; 1 Chiba University and 2 Tokyo Metropolitan College of Industrial Technology (Japan) The Correlation of Reproduction and Recovery Angular Errors for Similar and Diverse Scenes, Roshanak Zakizadeh and Graham D. Finlayson, University of East Anglia (UK) Construction of Manga Materials Database for Analyzing Perception of Materials in Line Drawings, Yuma Saito, Keita Hirai, and Takahiko Horiuchi, Chiba University (Japan) Non-Contact Video based Estimation for Heart Rate Variability Spectrogram Using Ambient Light by Extracting Hemoglobin Information, Kouki Kurita, Taku Yonezawa, and Norimichi Tsumura, Chiba University (Japan) Mutual Illumination Photometric Stereo without Calibration, Christopher Powell and Graham D. Finlayson, University of East Anglia (UK) Performance Evaluation of JPEG, JPEG2000 and New CSI-JPEG Algorithms by Incorporating Different Color Spaces, Muhammad Safdar 1, M. Ronnier Luo 1,2, and Xiaoyu Liu 1,3 ; 1 Zhejiang University (China), 2 University of Leeds (UK), and 3 Harbin Engineering University (China) A Pilot Study on Evaluating Common Appearance and a Color Naming Approach to Measure It, Philipp Tröster, Robin Schwanse, and Andreas Kraushaar, Fogra Research Institute (Germany) Colour Measurement on Human Skin, Mengmeng Wang 1, Kaida Xiao 2, Vien Cheung 1, Sophie Wurger 2, and Ming Ronnier Luo 1 ; 1 University of Leeds and 2 University of Liverpool (UK) Assessing the Quality of the LED based CIE Illuminant Simulators, Haiting Gu 1, M. Ronnier Luo 1, 2, Xiaoyu Liu 1, 3, Yang Yang 1, and Binyu Wang 4 ; 1 Zhejiang University (China), 2 University of Leeds (UK), 3 Harbin Engineering University (China), and 4 Thousand Lights Lighting (Changzhou) Limited (China) 16:00 17:30 INTERACTIVE SESSION Friday October 23, :00 12:30 COLOR AND IMAGING WORSHOPS see page 6 for details; select comp workshop when registering for conference 14:00 14:50 CLOSING KEYNOTE Sponsored by Hewlett-Packard Company Session Chair: Vien Cheung, University of Leeds 3D Printing: Building Rich and Seamless Workflows for Advanced Fabrication, Scott White, Hewlett-Packard Company (Spain) 5

8 October 19 23, 2015 Darmstadt, Germany 14:50 16:00 BRIGHT IDEAS AND CLOSING REMARKS Session Chair: Peter Bodrogi, Technical University Darmstadt (Germany) Encoding Color Difference Signals for High Dynamic Range and Wide Gamut Images, Jan Froehlich 1, 2, Timo Kunkel 1, Robin Atkins 1, Jaclyn Pytlarz 1, Scott Daly 1, Andreas Schilling 3, and Bernd Eberhardt 4 ; 1 Dolby Laboratories Inc. (USA), 2 University of Stuttgart, 3 University of Tübingen, and 4 Stuttgart Media University (Germany) A Spectral Database of Commonly Used Cine Lighting, Andreas Karge, Jan Froehlich, and Bernd Eberhardt, Stuttgart Media University (Germany) Theoretical Implementation of the Color Inconstancy Index for Gonio-Apparent Automotive Coatings, Francisco Martínez-Verdú, Esther Perales, Elisabet Chorro, Valentín Viqueira, Bárbara Micó-Vicent, and Omar Gómez, University of Alicante (Spain) CLOSING KEYNOTE 3D Printing: Building Rich and Seamless Workflows for Advanced Fabrication, Scott White, Hewlett-Packard Company 3D Printing and Additive Manufacturing technologies are evolving rapidly. Materials and processes are being created and refined to fabricate compelling and useful objects for a wide array of industries. The digital pipeline from design to fabrication is evolving as well, but there are many challenges associated with matching designers intent to fabricated objects, especially for advanced visual and mechanical properties. Meeting these challenges will require effort across the entire 3D printing ecosystem and, in some cases, require entirely new ways to specify and encode printing data. CIC Workshops A workshop is included with conference registration select when registering W1: Camera Color Characterization 8:00 12:30 Chair: Sabine Süsstrunk, EPFL (Switzerland) This workshop covers the whole process of camera characterization in theory and practice; a talk is provided on all important aspects. Many camera manufacturers stick to old test chart based color characterization methods because they are reluctant to change a running system or have not fully understood what modern technology can do. The goal of the workshop is to identify and demonstrate known issues in this process and provide potential solutions using latest technology like multispectral LED light sources in combination with in situ measured spectral radiances of natural objects and modern implementations of color look up tables so that participants get all the information they need to implement advanced color correction in their cameras and software. The workshop will also look at the impact display output (i.e., Rec.2020) has on camera characterization. Become part of the CIC online community! Search LinkedIn groups for color and imaging conference 6

9 CIC23: Twenty-third Color and Imaging Conference W2: Multi-Disciplinary Challenges in the Measurement and Reproduction of Skin Colors 9:00 12:30 Chairs: David Connah, University of Bradford, and Kaida Xiao, University of Liverpool (UK) Skin is a non-flat multi-layer material with uneven color properties. The largest organ in the human body, its color and appearance can change rapidly in response to temperature changes, illness, or even emotional responses. There has recently been a resurgence in interest in skin color, driven by a number of different technologies and application areas where accurate skin measurement and reproduction are key factors. Application areas include: diagnosis of cutaneous diseases skin color segmentation for face detection and recognition skin color reproduction for the graphic arts skin color matching for body and maxillofacial soft tissue prostheses In particular, three-dimensional (3D) technology has recently allowed for innovative methods of 3D data capture, storage, and manufacturing of both the geometry of 3D shapes and 3D color data of a body, to produce reproductions as either images or physical objects (hard or soft). For such applications, a comprehensive knowledge of the range of skin shades that represent individuals, an understanding of how skin color varies, and how people perceive these differences in a wide range of viewing conditions are strongly desired. The motivation behind this workshop is to bring together practitioners and academics from a range of disciplines to explore the outstanding issues in the measurement, reproduction, and perception of skin, with a particular emphasis on skin imaging. The overall goal is to understand more deeply what the most pressing challenges are in this area and stimulate cross-disciplinary collaborations that might help address these issues. W3: High Dynamic Range Imaging & Digital Camera Workflow 9:00 12:30 Chairs: Nicolas Bonnier, Apple (USA), and Harald Brendel, ARRI (Germany) As digital cinema workflows evolve, new technologies emerge bringing higher resolution, higher frame-rate, higher dynamic range, and wider gamut. In particular, cameras manufacturers are developing input devices capturing an always-higher dynamic range while projectors and monitors gradually improve and display higher and higher dynamic range. Different aspects of the digital cinema workflow such as the image rendering, the encoding range and format, the color space, the color sampling, the supported dynamic range, and the bandwidth will have to be reconsidered to adopt these emerging High Dynamic Range (HDR) technologies. The workshop reviews emerging HDR technologies in digital cinema, evaluates the likelihood of their adoptions by the community, and discusses the impact of their adoptions on the digital cinema workflow. The aim is to bring together researchers from both the industry and academia to identify opportunities and challenges within this field. The workshop starts with a series of invited talks from established researchers from leading companies, organizations, and universities who will focus on particular aspects of the field. The following stages of the digital cinema workflow are covered: camera capture, color grading and post-production, mastering, distribution and broadcasting, and display. The current state of standardization efforts by leading organizations such as the Academy of Motion Picture, Art and Science, SMPTE and MPEG is also discussed. 7

10 October 19 23, 2015 Darmstadt, Germany CIC23 Short Course Program MONDAY OCTOBER 19, 2015 M1: Color, Vision, and Basic Colorimetry 8:30 17:30 (8 hours) Instructor: Geoff Woolfe, Canon Information Systems Research Australia Pty. Ltd. (CISRA) This course provides a comprehensive overview of the fundamentals of vision and color science. It introduces students to the anatomy and physiology of the human visual system and enables students to understand the mechanisms of color vision and its relationship to the science of colorimetry. Cone and rod vision are discussed in terms of visual receptive fields, their spectral and temporal response, contrast sensitivity, and adaptation mechanisms. The course also covers the basic elements of color, including light sources, material properties, and the observer. It introduces key foundations of colorimetry including standard illuminants and color matching functions of standard observers. This leads to an explanation of basic colorimetry beginning with the XYZ color space and eventually leading to explanations of chromaticity spaces and perceptually uniform color spaces such as CIELAB and CIELUV. Benefits: Attendees will be able to understand: Detailed anatomic structure and physiological function of the human visual system. How adaptation mechanisms in the human visual system affect our perception of color and tone. The relationship between colorimetric systems and properties of light, materials, and observers. The concepts of metamerism, illuminant metamerism, and observer metamerism. How to compute colorimetric values and convert between commonly used color spaces. The applications best suited to various color spaces. Intended Audience: scientists and engineers involved in the development and optimization of color imaging systems. Geoff Woolfe is president of IS&T and the senior general manager of the Image and Video Research Centre at Canon Information Systems Research Australia. Prior to this, he was principal research scientist in the Xerox Innovation Group and senior principal research scientist at the Kodak Research Laboratories. Woolfe received his BSc (Honors) and PhD in physical chemistry from the University of Melbourne (Australia) and MS in imaging science from the Rochester Institute of Technology (USA). He was awarded the Mees Award, Kodak s highest honor for scientific achievement, is a member of the Honor Society of Phi Kappa Phi, and has previously served on the steering committee of the International Color Consortium. He is the author of more than 30 scientific papers and more than 50 US and international patents and patent applications in the fields of color and imaging science. Short Course Fees Separate registration is required. If you register: by 9/20 after 9/20 2-hour Member $160 $210 2-hour Non-member $195 $245 2-hour Student $60 $110 4-hour Member $250 $300 4-hour Non-member $300 $350 4-hour Student $90 $140 8-hour Member $435 $485 8-hour Non-member $485 $535 8-hour Student $180 $230 IS&T reserves the right to cancel classes in the event of insufficient advance registration. Please register early. 8

11 CIC23: Twenty-third Color and Imaging Conference TUESDAY OCTOBER 20, 2015 FOUR-HOUR CLASSES 8:00 12:00 T1A: Advanced Colorimetry and Color Appearance 8:00 12:00 (four hours) Instructor: Geoff Woolfe, Canon Information Systems Research Australia Pty. Ltd. (CISRA) This course builds on the framework of basic CIE colorimetry to provide students with a broad understanding of color appearance phenomena and color appearance modelling. Students are introduced to the color appearance metrics of lightness, brightness, colorfulness, saturation, chroma, and hue. Several important color appearance phenomena, related to changes in the state of adaptation of the human visual system are introduced. The course then leads on to a detailed study of the color appearance models more widely used in commercial and academic research. Benefits: Attendees will be able to understand: How changes in the state of visual adaptation affect the perceived appearance of colors. A number of important color appearance phenomena and how an understanding of these phenomena can affect the design of imaging systems. The most important models used to predict color appearance phenomena and how the parameters used in these models relate to real world viewing environments. Intended Audience: color engineers and research scientists involved with color reproduction, imaging device developers, and computer software developers. Knowledge of fundamental colorimetry is assumed. 13:30 17:30 T1C: Optimal Design of Color Systems 13:30 17:30 (four hours) Instructor: Geoff Woolfe, Canon Information Systems Research Australia Pty. Ltd. (CISRA) This course explores the requirements for designing imaging systems with optimal color capture and reproduction characteristics. It describes the requirements for accurate colorimetric capture of real world colors and the difficulties associated with realizing this concept in practice. The impact of camera spectral sensitivities on image noise are considered. The course also covers the optimal codesign of display primaries and camera sensitivities for maximizing the accuracy of color reproduction in the imaging system. It concludes with an examination of the color characteristics of display devices and printers, and discusses the difficulties in characterizing devices and ensuring high fidelity color matching from capture to display to print. Benefits: Attendees will be able to understand: How the spectral sensitivities of cameras affect the color capture accuracy and noise characteristics of color images. How to design a well matched cameradisplay system that maximizes the fidelity of color reproduction to the real world scene. The color characteristics of cameras, displays, and printers. How these characteristics affect the calibration and characterization of the devices. The requirements for obtaining high color fidelity from capture to display and print. Intended Audience: scientists and engineers involved in the development and optimization of color imaging systems. See bio under course M1, page 8. See bio under course M1, page 8. 9

12 October 19 23, 2015 Darmstadt, Germany TWO-HOUR CLASSES 8:00 10:00 T2A: Fundamentals of Spectral Measurements for Color Science 8:00 10:00 (2 hours) Instructor: David R. Wyble, Avian Rochester, LLC After defining the basic terms surrounding the instruments and quantities used in spectral measurements in the color field, this course covers the operation and construction of spectrophotometers and spectroradiometers by discussing the function of each of the various subsystems present in the devices. Instrument standardization and the application of CIE geometries for reflectance and transmittance are covered. To evaluate instruments, the concepts of precision and accuracy of measurement devices is introduced along with practical suggestions for the analysis of instrument performance. The overall goal is to fully understand the procedures and concepts that lead to proper spectral measurements, the basis for colorimetric calculations. Benefits: Attendees will be able to: Identify the components of spectrophotometers and spectroradiometers, as well as the functions of each. Define the standardization process of spectrophotometers and understand the implications of standardization upon the measurement process. Interpret measurement requirements and select appropriate measurement parameters and geometries for various applications. Understand the point of hand-off from spectral measurements to colorimetric calculations. Intended Audience: color engineers and technologists responsible for making and interpreting color measurements of any type. A technical background is not required, although an understanding of basic scientific principles is very helpful. David R. Wyble is president and founder of Avian Rochester, LLC. Since 2011, Avian Rochester has been delivering color standards, traditional and custom measurements, and consulting services to the color industry. Prior to founding Avian Rochester, Wyble was a color scientist within the Munsell Color Science Laboratory at the Rochester Institute of Technology and before that a member of research & technology staff at Xerox Corp. He holds a BS in computer science and MS and PhD in color science from RIT and Chiba University, respectively. T3A: Fundamentals of Psychophysics 8:00 10:00 (2 hours) Instructor: James A. Ferwerda, Rochester Institute of Technology Psychophysical methods from experimental psychology can be used to quantify the relationships between the physical properties of the world and the qualities people perceive. The results of psychophysical experiments can be used to create models of human perception that can guide the development of effective color imaging algorithms and enabling interfaces. This course provides an introduction to the theory and practice of psychophysics and teachs attendees how to develop experiments that can be used to advance color imaging research and applications. Hands-on examples are used throughout so that attendees understand how to design and run their own experiments, analyze the results, and develop perceptually-based algorithms and applications. Benefits: Attendees will be able to: Identify the major techniques for measuring perceptual thresholds and scales. Design perception experiments using these techniques. Analyze the data from these experiments to derive perceptual metrics. Apply these metrics to practical problems in color imaging. 10

13 CIC23: Twenty-third Color and Imaging Conference MONDAY SHORT COURSE M1-Color, Vision, and Basic Colorimetry: 8:30 17:30 TUESDAY SHORT COURSES 8:00 10:OO 10:15 12:15 13:30 15:30 15:45 17:45 Color & Design T1A: Advanced Colorimetry and Color Appearance T1A continues T1C: Optimal Design of Color Systems T1C continues Physics & HDR T2A: Fundamentals of Spectral Measurements for Color Science T2B: Fluorescence for Color Reproduction T2C: High-Dynamic-Range Imaging in Cameras, Displays, and Human Vision T2D: The Art of Making Better Pixels:... Appearance & 3D T3A: Fundamentals of Psychophysics T3B: Characterizing Surface Appearance T3C: Scanning of 3D Objects T3D: Color and Appearance in 3D Printing Color & Images T4A: Color Image Understanding T4B: Variational Color Image Enhancement Inspired by Human Vision T4C: Color Image Quality Assessment T4D: Colour Difference Perception for Images Intended Audience: students and professionals who want to be able to interpret the results of perception psychology experiments and develop their own perception studies. The course assumes a basic level understanding of issues in color and imaging science and engineering and statistics. No specific knowledge of perception psychology is required. All relevant concepts are introduced in the class. James A. Ferwerda is an associate professor and the Xerox chair in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology. He received a BA in psychology, MS in computer graphics, and a PhD in experimental psychology, all from Cornell University. The focus of his research is on building computational models of human vision from psychophysical experiments, and developing advanced imaging systems based on these models. T4A: Color Image Understanding 8:00 10:00 (2 hours) Instructors: Theo Gevers, University of Amsterdam, and Marcel Lucassen, Philips Research Eindhoven This short course addresses the theory and techniques to exploit color information from the digital camera processing pipeline up to high-level color image understanding. The aim is to provide basics on color theory and a practical set of techniques which allow to effectively use color information in computer vision applications. The course illustrates that color information is a powerful tool for image and video understanding. First, the fundamentals of color in computer vision are outlined, such as color representation, color models, color perception, reflection models, photometric invariance, color constancy, and color saliency. Then, we focus on the practical usage of color in computer vision applications. Examples of relevant application areas such as edge detection, 11

14 October 19 23, 2015 Darmstadt, Germany image segmentation, color perception, object tracking, object recognition and humanbehavior understanding, are shown. Benefits: Attendees will be able to: Understand the basics of color image formation and representation in both human and computer vision systems. Learn about color image modeling and processing, reflection models, photometric invariance, color constancy and color saliency. Acknowledge the important role of color in computer vision applications, such as image segmentation, motion and tracking analysis, object recognition and image/ video classification. Understand how these applications are evaluated and benchmarked. Experience a demonstration of the object recognition, face analysis and 3D reconstruction systems. Intended Audience: those involved or interested in the fundamentals and application of computer vision for color image understanding. Basic knowledge on color and image processing is helpful. Theo Gevers is a full professor of computer science at the University of Amsterdam. His scientific roots lie in two communities: color and computer vision. In both he has been chair, invited speaker and lecturer of post-doctoral courses/tutorials at major conferences (CIC, CGIV, ICCV, CVPR, ICIP, ICPR, ECCV, ICIAP, SPIE). His main research interests are in the fundamentals of object recognition, color image processing, and human behavior analysis in computer vision specifically in the theoretical foundation of geometric and photometric invariants, color saliency, emotion recognition and head pose estimation. He has published more than 150 papers on image processing, image retrieval, and computer vision. Gevers is founder of SightCorp B.V. and 3Duniversum, both spin-off companies from the University of Amsterdam, which bring cutting edge computer vision technology within the reach of consumers. Marcel Lucassen is a senior color scientist at Philips Research, interested in human color perception in relation to lighting. Before joining Philips in 2015, he was an independent researcher/ consultant (Lucassen Colour Research), collaborating with industries and universities. From 2007 onwards he held a part-time position at the University of Amsterdam, working in the Computer Vision group mainly on the perceptual evaluation of color constancy algorithms. In the period , he worked in the laboratories of Akzo Nobel Coatings and TNO Human Factors, specializing in color and texture appearance of effect coatings, and visual perception in applied science. He holds an MS in technical physics from Twente University and a PhD in biophysics from Utrecht University (the Netherlands). He is an associate editor for Color Research and Application. 10:15 12:15 T2B: Fluorescence for Color Reproduction 10:15 12:15 (2 hours) Instructor: Roger D. Hersch, Ecole Polytechnique Fédérale de Lausanne This course provides a basic understanding of the physical phenomena governing the interaction of light and fluorescent material and looks at how to model the impact of fluorescence on color reproduction, mainly in regard to optically brightened paper and daylight fluorescent inks. The following topics are presented: The fluorescence phenomenon Measurement equipment Donaldson's fluorescence matrix Allen's method of separating the fluorescent emission and the pure reflectance Prediction model for the reproduction of color halftones on optically brightened paper Impact of illuminant and paper fluorescence on color gamut and color reproduction Wide gamut color reproduction with classical and daylight fluorescent inks 12

15 CIC23: Twenty-third Color and Imaging Conference Benefits: Attendees will be able to: Understand how, due to fluorescence, light is absorbed and reemitted at another wavelength range. Be familiar with fluorescence measurement equipment (fluorimeter, spectrophotometer with UV included and excluded, and custom setup with UV exciting light source). Understand how to use Donaldson s fluorescence matrix and Allen's method to capture the behavior of fluorescent material. Understand a spectral model predicting both the fluorescent emission and the pure reflectance of color halftones and its use for evaluating the impact of fluorescent brighteners and of ink transmittance spectra on the color gamut. Understand extensions of the classical Yule- Nielsen enhanced Neugebauer color prediction model for predicting the color of halftones printed with daylight fluorescent inks. Be able to compare the gamuts of prints with classical inks and with combinations of classical inks and daylight fluorescent inks. Intended Audience: scientists, engineers, and managers involved in research and design of optically brightened substrates, classical inks, daylight fluorescent inks, and color management systems. Roger D. Hersch is professor of computer science and head of the Peripheral Systems Laboratory at the Ecole Polytechnique Fédérale de Lausanne Switzerland. He received his engineering and PhD respectively from ETH Zurich (1975) and from EPFL (1985). He has published more than 50 scientific papers, is inventor or co-inventor in a number of patents and is a fellow of IS&T. He develops new approaches for color reproduction, artistic imaging, and document security. 20% SAVINGS Take 3 or more courses and get 20% off your total short course registration fee! See registration form for details. T3B: Characterizing Surface Appearance 10:15 12:15 (2 hours) Instructor: James A. Ferwerda, Rochester Institute of Technology Surface appearance is of critical importance in a wide variety of fields including design, manufacturing, forensics, medicine, and cultural heritage preservation. This course first introduces a framework for characterizing surface appearance that includes the visual attributes of color, gloss, translucency, and texture. It then reviews efforts that have been made to measure these attributes, and describe the psychophysical methods that are used to relate the physical properties of surfaces to their visual appearances. Finally, the potential for using computer-graphics techniques to simulate the appearances of complex surfaces is discussed and how new digital imaging technologies are being used to advance the measurement, modeling, visualization, and communication of surface appearance is described. Benefits: Attendees will be able to: Identify factors that contribute to the appearances of complex surfaces. Understand the physical bases of surface appearance, and how these bases are measured. Learn about the psychophysical methods used to relate the physical and perceptual aspects of surface appearance. Distinguish the different systems used to describe and communicate surface appearance. Comprehend how computer-graphics and digital imaging techniques are rapidly advancing the state-of-the-art in surface appearance characterization. 13

16 October 19 23, 2015 Darmstadt, Germany Intended Audience: students and professionals who want to understand the physics and psychophysics of surface appearance. The course assumes a basic level understanding of issues in color/imaging science and engineering. All specialized concepts are introduced in the class. See bio under course T3A, page 11. T4B: Variational Color Image Enhancement Inspired by Human Vision 10:15 12:15 (2 hours) Instructor: Edoardo Provenzi, University Paris Descartes In the last twenty years, variational principles in image processing and computer vision flourished. They allowed a deeper comprehension of important image features and provided more efficient solutions to many practical problems. This holds true also for color image processing. The first part of this short course provides a brief qualitative introduction to variational techniques, which is then applied to re-interpret the well-known histogram equalization method. During the second part, you are shown how to modify the variational framework of histogram equalization to take into account some basic properties of the human visual system. Results on natural images are presented and discussed. Benefits: Attendees will be able to: Identify a variational technique. Describe histogram equalization in terms of minimization of energy functionals. Summarize the most important phenomenological properties of the human visual system. Combine visual features with variational principles in order to get efficient color enhancement algorithms. Compare different color enhancement techniques within the variational framework. Intended Audience: variational principles amount to the definition of a suitable integral function called energy and the computation of its minima. In order to understand this, a general knowledge about differential calculus of functions would be strongly recommended. The course is intended for two types of audiences: color/imaging scientists and engineers who would like to acquire information about some recent developments of color enhancement inspired by human vision and master and PhD students or post-docs who wish to approach the rapidly expanding domain of variational techniques. Edoardo Provenzi is an associate professor at the University Paris Descartes, France since He obtained a master in theoretical physics (2000) from the University of Milan, Italy, and a PhD in applied mathematics (2004) from the University of Genoa, Italy. Since 2004, he has been studying color vision and processing. His main research field is in the application of variational principles to formalize color enhancement techniques. 13:30 15:30 T2C: High-Dynamic-Range Imaging in Cameras, Displays, and Human Vision 13:30 15:30 (2 hours) Instructors: Alessandro Rizzi, University of Milano, and John McCann, McCann Imaging High-dynamic range (HDR) imaging records and displays more information than conventional imaging. Non-uniform illumination increases the range of light from a scene. Although HDR techniques are often associated with recording Natural Images (Ansel Adams), it can be used to improve medical imaging, such as endoscopy. After providing a detailed description of the dynamic range problem in image acquisition, this course focuses on standard methods of creating and manipulating HDR images, replacing myths with measurements of scenes, camera images, and visual appearances. The course presents measurements about the limits of accurate 14

17 CIC23: Twenty-third Color and Imaging Conference camera acquisition (range and color) and the usable range of light for displays presented to human vision. It discusses the principles of tone rendering and the role of HDR spatial comparison. Benefits: Attendees will be able to: Explore the history of HDR imaging. Understand dynamic range and quantization: the salame metaphor. Compare single and multiple-exposures for scene capture. Measuring optical limits in acquisition and visualization. Discover relationship between HDR range and scene dependency; the effect of glare. Discuss the limits of RAW scene capture in LDR and normal scenes. Learn about scene dependent glare in RAW image capture. Explore the limits of our vision system on HDR. Calculate retinal luminance. Identify tone-rendering problems and spatial methods. Intended Audience: students, color scientists, imaging researchers, medical imagers, software and hardware engineers, photographers, cinematographers, and production specialists, interested in using HDR in imaging applications. Since 1990 Alessandro Rizzi has studied the field of digital imaging and vision. His main research topic is the use of color information in digital images with particular attention to color perception mechanisms. He is associate professor in the Department of Information Science and Communication at the University of Milano teaching fundamentals of digital imaging, multimedia video and human-computer interaction. He is one of the founders of the Italian Color Group and a member of several program committees of conferences related to color and digital imaging. John McCann received a degree in biology from Harvard College (1964). He worked in, and managed, the Vision Research Laboratory at Polaroid from 1961 to He has studied human color vision, digital image processing, large format instant photography, and the reproduction of fine art. His publications and patents have studied Retinex theory, color constancy, color from rod/cone interactions at low light levels, appearance with scattered light, and HDR imaging. He is a Fellow of IS&T and the Optical Society of America (OSA). He is a past President of IS&T and the Artists Foundation, Boston. He is the IS&T/OSA 2002 Edwin H. Land Medalist and IS&T 2005 Honorary Member. T3C: Scanning of 3D Objects 13:30 15:30 (2 hours) Instructor: Holly Rushmeier, Yale University This course provides an overview of techniques used to capture 3D shape and appearance. The principles of active methods, which use controlled projected light, are outlined. Active methods include the use of both visible and infrared patterns. They make use of either triangulation, photometric stereo or time-of-flight to estimate shape. Passive methods use ambient light, and employ shape from motion algorithms from computer vision. Passive methods have become more popular as the quality of cameras has increased and algorithms have been refined. Appearance data may be obtained coincident light with shape data, or may be estimated from photographs in a separate process. Examples of using captured models in computer graphics, biology and cultural heritage are given. Benefits Attendees will be able to: Understand the different methods for 3D scanning in terms of cost, ease of use, and reliability. Understand the applicability of different scanning techniques as a function of object size and material. Appreciate the level of human interaction required to process 3D data into a useful 3D model. 15

18 October 19 23, 2015 Darmstadt, Germany Intended Audience: students or practitioners who are interested in obtaining 3D models as input to design or as documentation. A bachelor s degree in science or engineering is required. Holly Rushmeier is a professor of computer science at Yale. She received a PhD (1988) in mechanical engineering from Cornell. Since receiving her PhD she has held positions at Georgia Tech, NIST, and IBM TJ Watson Research. Her current research focuses on scanning and modeling of shape and appearance properties, and on applications in the digital humanities and cultural heritage. She is a EuroGraphics Fellow and received the 2013 ACM SIGGRAPH Computer Graphics Achievement Award. T4C: Color Image Quality Assessment 13:30 15:30 (2 hours) Instructors: Jan Allebach, Purdue University, and Marius Pedersen, Gjøvik University College Image quality assessment is a topic of growing interest that has also been the subject of much recent research. In this short course, we examine the current thinking about color image quality from several different vantage points. First, we examine models that are inspired by the spatiochromatic properties of the human visual system, or by thinking about the visually relevant structural characteristics of images. Furthermore, these spatiochromatic approaches typically lead to a processed image that reflects visual significance of image errors on a pixel-by-pixel basis. Such pixel error maps may be converted to a single number that summarizes overall image quality by various approaches to spatial summation, including the accounting for visual saliency. We describe some of these approaches. A second major thread for image quality investigations is to identify a set of key image quality attributes, such as tone reproduction, sharpness, contrast, graininess, color fidelity, and artifacts, and to compute these as a set of distinct metrics for evaluating image quality. We discuss methods for conducting psychophysical experiments to evaluate these specific aspects of image quality, and the use of spider plots to illustrate how they separately and cumulatively affect overall image quality. Finally, we illustrate the use of these image quality concepts for the evaluation of printer workflows. Benefits: Attendees will be able to: Understand the basic spatiochromatic characteristics of the human visual system. Understand methods for conducting psychophysical experiments to subjectively assess image quality. Be familiar with the major image quality metrics in use today. Understand methods for pooling the results of spatial image quality maps to yield a single-number assessment of overall image quality. Understand what the major image quality attributes are, what they measure, and how they are computed. Know how to generate and interpret spider-plots that provide an integrated view of how a given image performs across a set of image quality attributes. Gain insight into the application of the concepts introduced in this course to the solution of real-world problems in imaging systems development. Intended Audience: scientists, engineers, analysts, and managers involved in the design, engineering, manufacturing, marketing, or evaluation of imaging and printing products, algorithms, or systems. Participants should be familiar with the function and basic properties of imaging systems. A rudimentary knowledge of color science, linear systems, and image processing is helpful, but not essential. Jan P. Allebach is the Hewlett-Packard Distinguished Professor of electrical and computer engineering at Purdue University. He holds courtesy appointments in computer and psychological sciences. Technologies 16

19 CIC23: Twenty-third Color and Imaging Conference developed in his laboratory have been licensed to major vendors of printer companies, and can be found in products that have sold 100s of millions of units world-wide. Allebach is a Fellow of IEEE, IS&T, and SPIE. He was named Electronic Imaging Scientist of the Year by IS&T and SPIE, and was named Honorary Member of IS&T, the highest award that IS&T bestows. He is the recipient of the IEEE Daniel E. Noble Award (a Technical Field Award), and elected to membership in the National Academy of Engineering, both for his work on digital halftoning. Most recently, he was elected to membership in the National Academy of Inventors, on the basis of his patent portfolio. From Purdue University, he is the recipient of ten different awards for teaching, mentorship, and research. Marius Pedersen is head of and associate professor in the Norwegian Colour and Visual Computing Laboratory at Gjøvik University College, Norway. His work centers on image quality assessment. He received his BsC in computer engineering (2006) and MiT in media technology (2007) from Gjøvik University College, Norway, and PhD in color imaging (2011) from the University of Oslo, with a dissertation on image quality metrics for the evaluation of printing workflows. This work was sponsored by Océ. 15:45 17:45 T2D: The Art of Making Better Pixels: High Dynamic Range Display Concepts and Technologies 15:45 17:45 (2 hours) Instructor: Timo Kunkel, Dolby Laboratories SHORT COURSE MONITORS NEEDED Help with a class and take it for free! Interested? Contact Diana Gonzalez at color@imaging.org Priority is given to students. The field of High Dynamic Range imaging or HDR was coined more than 20 years ago. During this time, various building blocks have been designed that are suitable to form perceptually compelling as well as technologically efficient HDR display systems, especially in the context of comprehensive HDR imaging pipelines. Now, with the advent of mainstream HDR technologies, it is important to identify several key perceptual and technological concepts to avoid pitfalls that can impact image fidelity when processing, transmitting, and displaying HDR imagery. This course is intended as an introduction into high dynamic range display system and its related imaging pipelines. Benefits: Attendees will be able to: Understand how the human visual system perceives the physical world around us and how HDR display technologies cater to this. Understand how much display luminance and contrast do we benefit from expanding the dynamic range Appreciate how we should we display the real physical world and how we convey artistic intent. Understand the interaction between HDR and Wide Color Gamut Imaging. Identify the difference of vivid and dynamic TV modes vs. true HDR and wide gamut display. Evaluate the impact of 2D dual modulation technologies in comparison to other display types such as OLED. Identify the importance of a display s white and black levels, its tone curve, and quantization steps as well as its color gamut volume. Differentiate the considerations for creating compelling content that lives up to the capabilities of HDR displays. Intended Audience: it is aimed at anyone working in image display related fields such as display design, content creation, image transport and broadcast and vision science. No direct previous knowledge is required but a basic understanding of traditional display and imaging concepts is beneficial. 17

20 October 19 23, 2015 Darmstadt, Germany Timo Kunkel is a senior researcher for Dolby Laboratories. His main areas of research are HDR and wide color gamut imaging, advanced display systems, virtual reality technologies, and psychophysics. Over the last 15 years he also worked as an architecture and landscape photographer focusing on computational photography approaches. He received his PhD in computer science from the University of Bristol, UK and MSc in physical geography, remote sensing, and environment modeling from the University of Freiburg, Germany. T3D: Color and Appearance in 3D Printing 15:45 17:45 (2 hours) Instructors: Philipp Urban and Alan Brunton, Fraunhofer Institute for Computer Graphics Research IGD Novel 3D printers can combine multiple colorful materials in a single object enabling the reproduction of an object s color, texture, gloss and translucency in addition to its shape. This short course provides an overview of the relevant 3D printing technologies and focuses on the color and appearance reproduction pipeline. imaging specialists, 3D printer designers, and software developers. Philipp Urban is head of the Competence Center 3D Printing Technology at the Fraunhofer IGD in Darmstadt, Germany, where he works on the appearance reproduction of objects using multimaterial 3D printers. During his career he has been a visiting scientist at the Munsell Color Science Laboratory at RIT and head of the color research group at TU Darmstadt. He holds an MS in mathematics from University of Hamburg and a PhD from Hamburg University of Technology. Alan Brunton received his BA in computer science from Carleton University (2004), and a Masters and PhD in computer science from the University of Ottawa (2006 and 2012, respectively). From 2012 to 2013, he was a post-doctoral researcher in the computer graphics group at the Max Planck Institute for Informatics in Saarbruecken, Germany. Since 2014, he has been a research scientist with the Competence Center for 3D Printing Technology at the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt, Germany. His research interests include 3D printing, geometry processing, 3D computer vision, and statistical shape models. Benefits: Attendees will be able to: Understand the basic concepts of 3D printing as they relate to color and appearance. Understand the differences between the existing color-capable 3D printing technologies. Describe ways to represent color and other appearance properties attached to 3D shapes. Learn the main principles of the 3D color reproduction pipeline. Have a basic understanding of 3D surface halftoning. Intended audience: attendees wishing to become more familiar with the opportunities and challenges of the emerging field of graphical 3D printing, which may include color and T4D: Colour Difference Perception for Images 15:45 17:45 (2 hours) Instructor: Ronnier Luo, Zhejiang University, University of Leeds, and National Taiwan University of Science and Technology This course is divided into two parts: color difference evaluation for color patches and images, respectively. The former covers the fundamental in understanding color difference assessments such as visual assessment methods, reference viewing condition, and evaluation and development of color difference formulae using visual results. The latter introduces the way and theory to extend the formulae based on patches for evaluating images such as conventional formula with add-on spatial filters, color appearance model based formula 18