Computer vision. 3D Stereo camera Bumblebee. 25 August 2014
|
|
- Shanna Sharp
- 8 years ago
- Views:
Transcription
1 Computer vision 3D Stereo camera Bumblebee 25 August 2014 Copyright by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved Thomas Osinga 3D Stereo Camera Bumblebee Overview: Camera stereo parameters Accuracy with different baselengths Examples Advantages / Disadvantages 3D Stereo camera Bumblebee 2 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 1
2 3D Stereo camera Bumblebee 3 Stereo vision camera s are used to perform 3D measurements Stereo vision is based on the human eyes: The camera takes two snapshots from different positions. When a certain object can be identified as a pixel location in one image and in the other image, then the distance can be calculated based on the translation of the object pixel Some problems in stereo vision: Identifying of pixels in multiple images for matching the same world coordinates Correct calibration of both camera s, so the pixels can be correlated Less accuracy on larger distances 3D Stereo camera Bumblebee 4 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 2
3 Identifying of pixels in multiple images for matching the same world coordinates: This can be solved with stereo vision algorithms. There are many algorithms available. A stereo vision SDK is delivered with the BumbleBee camera s. 3D Stereo camera Bumblebee 5 Correct calibration of both camera s, so the pixels can be correlated A stereo rig is used to calibrate the camera s. The images have to be mapped to a pin-hole camera model. This image is called rectified. Raw image with lens distortion Rectified pin-hole image 3D Stereo camera Bumblebee 6 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 3
4 Less accuracy on larger distances The distance calculation is based on the following equation: Dist ( m) = f ( pix) base Disp ( pix) ( m) in this equation f is the focal length of the lens in pixels. The disparity is the difference in x-direction of the pixel coordinates in both images 3D Stereo camera Bumblebee 7 Less accuracy on larger distances When the distance according to each pixelvalue is plotted, the following graph will appear 16 Disparity y = 184,35x -1,0033 R 2 = 0,9972 Afstand(m) Pixelwaarde Disparity Macht (Disparity) 3D Stereo camera Bumblebee 8 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 4
5 To get a correct depth image, a few steps need to be taken: 3D Stereo camera Bumblebee 9 Camera stereo parameters Mode The BumbleBee camera s have 7 different modes: 1: Raw Image 2: Rectified Color 3: Rectified 4: Disparity (this gives a depth image) 5: Disparity Color (this gives a depth image in false colors) 6: Disparity Validation (when certain area s are not volidated in the vision algorithm they get a certain color) 7: Absolute (in this mode the absolute world coordinates are given) Pan With this parameter the user can choose witch camera s are used to perform stereo vision algorithm s 3D Stereo camera Bumblebee 10 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 5
6 Camera stereo parameters Disparity The disparity range is the range of pixelvalues in wich the stereo algorithm searches for a best match. A disparity value of 0 means that an object is unlimited far away. A maximum disparity value means that this is the closest distance that an object can be measured Disparity Mapping With disparity mapping the user can define a pixel range in wich the result pixels will be shown. This is comparable with a contrast stretch. Stereo Mask The user can define the size of the mask that is used to correlate both images. Edge Mask The user can define the size of the edge mask that is used to correlate both images. 3D Stereo camera Bumblebee 11 Accuracy with different baselengths To achieve higher accuray a bigger baselength is needed. When measuring the same distance with the same stereo camera s on a bigger base. The accuracy will be like the following graph Nauwkeurigheid Nauwkeurigheid (m) 2,3 2,2 2,1 2 1,9 1,8 1,7 1,6 1,5 1,4 1,3 1,2 1,1 1 0,9 0,8 0,7 0,6 0,5 0,4 0,3 0,2 0, Basis (m) Nauwkeurigheid 3D Stereo camera Bumblebee 12 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 6
7 Examples Rectified Color Image 3D Stereo camera Bumblebee 13 Examples Disparity image (on 3m distance) 3D Stereo camera Bumblebee 14 Jaap van de Loosdrecht, NHL, vdlmv, 7
8 Examples Disparity image (on 2m distance) 3D Stereo camera Bumblebee 15 Examples Disparity image (on 1m distance) 3D Stereo camera Bumblebee 16 Jaap van de Loosdrecht, NHL, vdlmv, 8
9 Advantages / Disadvantages Advantages High accuracy can be achieved by using the correct base Accuracy on different distances can be calculated When focal length of the lens is known, the needed base can be calculated for good accuracy Disadvantages Not possible to calculate distance of every pixel in the image Accuracy is not linear 3D Stereo camera Bumblebee 17 Jaap van de Loosdrecht, NHL, vdlmv, j.van.de.loosdrecht@nhl.nl 9
Computer Vision. Image math. Copyright 2001 2016 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved
Computer Vision: Image math and geometric Computer Vision Image math Copyright 2001 2016 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved j.van.de.loosdrecht@nhl.nl, jaap@vdlmv.nl
More informationComputer Vision. Image acquisition. 25 August 2014. Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved
Computer Vision Image acquisition 25 August 2014 Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved j.van.de.loosdrecht@nhl.nl, jaap@vdlmv.nl Image acquisition
More informationComputer Vision: Machine Vision Filters. Computer Vision. Optical Filters. 25 August 2014
Computer Vision Optical Filters 25 August 2014 Copyright 2001 2014 by NHL Hogeschool, Van de Loosdrecht Machine Vision BV and Klaas Dijkstra All rights reserved j.van.de.loosdrecht@nhl.nl, jaap@vdlmv.nl,
More informationComputer Vision. Color image processing. 25 August 2014
Computer Vision Color image processing 25 August 2014 Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved j.van.de.loosdrecht@nhl.nl, jaap@vdlmv.nl Color image
More informationLecture 12: Cameras and Geometry. CAP 5415 Fall 2010
Lecture 12: Cameras and Geometry CAP 5415 Fall 2010 The midterm What does the response of a derivative filter tell me about whether there is an edge or not? Things aren't working Did you look at the filters?
More informationVideo-Rate Stereo Vision on a Reconfigurable Hardware. Ahmad Darabiha Department of Electrical and Computer Engineering University of Toronto
Video-Rate Stereo Vision on a Reconfigurable Hardware Ahmad Darabiha Department of Electrical and Computer Engineering University of Toronto Introduction What is Stereo Vision? The ability of finding the
More informationHow does the Kinect work? John MacCormick
How does the Kinect work? John MacCormick Xbox demo Laptop demo The Kinect uses structured light and machine learning Inferring body position is a two-stage process: first compute a depth map (using structured
More informationAutomatic Labeling of Lane Markings for Autonomous Vehicles
Automatic Labeling of Lane Markings for Autonomous Vehicles Jeffrey Kiske Stanford University 450 Serra Mall, Stanford, CA 94305 jkiske@stanford.edu 1. Introduction As autonomous vehicles become more popular,
More informationAn Iterative Image Registration Technique with an Application to Stereo Vision
An Iterative Image Registration Technique with an Application to Stereo Vision Bruce D. Lucas Takeo Kanade Computer Science Department Carnegie-Mellon University Pittsburgh, Pennsylvania 15213 Abstract
More informationIntroduction. www.imagesystems.se
Product information Image Systems AB Main office: Ågatan 40, SE-582 22 Linköping Phone +46 13 200 100, fax +46 13 200 150 info@imagesystems.se, Introduction Motion is the world leading software for advanced
More informationSolution Guide III-C. 3D Vision. Building Vision for Business. MVTec Software GmbH
Solution Guide III-C 3D Vision MVTec Software GmbH Building Vision for Business Machine vision in 3D world coordinates, Version 10.0.4 All rights reserved. No part of this publication may be reproduced,
More informationBuild Panoramas on Android Phones
Build Panoramas on Android Phones Tao Chu, Bowen Meng, Zixuan Wang Stanford University, Stanford CA Abstract The purpose of this work is to implement panorama stitching from a sequence of photos taken
More informationBlind Deconvolution of Barcodes via Dictionary Analysis and Wiener Filter of Barcode Subsections
Blind Deconvolution of Barcodes via Dictionary Analysis and Wiener Filter of Barcode Subsections Maximilian Hung, Bohyun B. Kim, Xiling Zhang August 17, 2013 Abstract While current systems already provide
More informationSpatial location in 360 of reference points over an object by using stereo vision
EDUCATION Revista Mexicana de Física E 59 (2013) 23 27 JANUARY JUNE 2013 Spatial location in 360 of reference points over an object by using stereo vision V. H. Flores a, A. Martínez a, J. A. Rayas a,
More informationUSB 3.0 Camera User s Guide
Rev 1.2 Leopard Imaging Inc. Mar, 2014 Preface Congratulations on your purchase of this product. Read this manual carefully and keep it in a safe place for any future reference. About this manual This
More informationGeometric Camera Parameters
Geometric Camera Parameters What assumptions have we made so far? -All equations we have derived for far are written in the camera reference frames. -These equations are valid only when: () all distances
More informationBEHAVIOR BASED CREDIT CARD FRAUD DETECTION USING SUPPORT VECTOR MACHINES
BEHAVIOR BASED CREDIT CARD FRAUD DETECTION USING SUPPORT VECTOR MACHINES 123 CHAPTER 7 BEHAVIOR BASED CREDIT CARD FRAUD DETECTION USING SUPPORT VECTOR MACHINES 7.1 Introduction Even though using SVM presents
More informationUltra-High Resolution Digital Mosaics
Ultra-High Resolution Digital Mosaics J. Brian Caldwell, Ph.D. Introduction Digital photography has become a widely accepted alternative to conventional film photography for many applications ranging from
More informationRevision problem. Chapter 18 problem 37 page 612. Suppose you point a pinhole camera at a 15m tall tree that is 75m away.
Revision problem Chapter 18 problem 37 page 612 Suppose you point a pinhole camera at a 15m tall tree that is 75m away. 1 Optical Instruments Thin lens equation Refractive power Cameras The human eye Combining
More informationHow To Use Trackeye
Product information Image Systems AB Main office: Ågatan 40, SE-582 22 Linköping Phone +46 13 200 100, fax +46 13 200 150 info@imagesystems.se, Introduction TrackEye is the world leading system for motion
More informationCBERS Program Update Jacie 2011. Frederico dos Santos Liporace AMS Kepler liporace@amskepler.com
CBERS Program Update Jacie 2011 Frederico dos Santos Liporace AMS Kepler liporace@amskepler.com Overview CBERS 3 and 4 characteristics Differences from previous CBERS satellites (CBERS 1/2/2B) Geometric
More informationTAGARNO AS Sandøvej 4 8700 Horsens Denmark Tel: +45 7625 1111 Mail: mail@tagarno.com
8 TAGARNO AS Sandøvej 4 8700 Horsens Denmark Tel: +45 7625 1111 Mail: mail@tagarno.com TAGARNO 2 Quick Image Capture Split Screen Function Magnification up to 320x Easy Height Adjustment SD-card ESD Security
More informationGrasshopper3 U3. Point Grey Research Inc. 12051 Riverside Way Richmond, BC Canada V6W 1K7 T (604) 242-9937 www.ptgrey.com
Grasshopper3 U3 USB 3.0 Camera Imaging Performance Specification Version 12.0 Point Grey Research Inc. 12051 Riverside Way Richmond, BC Canada V6W 1K7 T (604) 242-9937 www.ptgrey.com Copyright 2012-2015
More informationVisual & Auditory Skills Lab
Visual & Auditory Skills Lab Name: Score: Introduction This lab consists of a series of experiments that explore various perceptual, vision, and balance skills that help us understand how we perform motor
More informationRapid Application Development for Machine Vision A New Approach
Rapid Application Development for Machine Vision A New Approach Introduction Converging technologies, such as the PCI-bus and Intel MMX, have created so much bandwidth and computing power that automation
More informationMultispectral stereo acquisition using 2 RGB cameras and color filters: color and disparity accuracy
Multispectral stereo acquisition using 2 RGB cameras and color filters: color and disparity accuracy (a) and Bernhard Hill (b) (a) Institute of Imaging and Computer Vision (b) Research Group Color and
More informationDICOM Correction Item
Correction Number DICOM Correction Item CP-626 Log Summary: Type of Modification Clarification Rationale for Correction Name of Standard PS 3.3 2004 + Sup 83 The description of pixel spacing related attributes
More informationThe Concept(s) of Mosaic Image Processing. by Fabian Neyer
The Concept(s) of Mosaic Image Processing by Fabian Neyer NEAIC 2012 April 27, 2012 Suffern, NY My Background 2003, ST8, AP130 2005, EOS 300D, Borg101 2 2006, mod. EOS20D, Borg101 2010/11, STL11k, Borg101
More informationUntangling the megapixel lens myth! Which is the best lens to buy? And how to make that decision!
Untangling the megapixel lens myth! Which is the best lens to buy? And how to make that decision! 1 In this presentation We are going to go over lens basics Explain figures of merit of lenses Show how
More information3D Scanner using Line Laser. 1. Introduction. 2. Theory
. Introduction 3D Scanner using Line Laser Di Lu Electrical, Computer, and Systems Engineering Rensselaer Polytechnic Institute The goal of 3D reconstruction is to recover the 3D properties of a geometric
More informationhttp://www.guido.be/intranet/enqueteoverview/tabid/152/ctl/eresults...
1 van 70 20/03/2014 11:55 EnqueteDescription 2 van 70 20/03/2014 11:55 3 van 70 20/03/2014 11:55 4 van 70 20/03/2014 11:55 5 van 70 20/03/2014 11:55 6 van 70 20/03/2014 11:55 7 van 70 20/03/2014 11:55
More informationTHE EFFECTS OF TEMPERATURE VARIATION ON SINGLE-LENS-REFLEX DIGITAL CAMERA CALIBRATION PARAMETERS
Coission V Symposium, Newcastle upon Tyne, UK. 2010 THE EFFECTS OF TEMPERATURE VARIATION ON SINGLE-LENS-REFLEX DIGITAL CAMERA CALIBRATION PARAMETERS M. J. Smith *, E. Cope Faculty of Engineering, The University
More informationPHOTOGRAMMETRIC TECHNIQUES FOR MEASUREMENTS IN WOODWORKING INDUSTRY
PHOTOGRAMMETRIC TECHNIQUES FOR MEASUREMENTS IN WOODWORKING INDUSTRY V. Knyaz a, *, Yu. Visilter, S. Zheltov a State Research Institute for Aviation System (GosNIIAS), 7, Victorenko str., Moscow, Russia
More informationARC 3D Webservice How to transform your images into 3D models. Maarten Vergauwen info@arc3d.be
ARC 3D Webservice How to transform your images into 3D models Maarten Vergauwen info@arc3d.be Overview What is it? How does it work? How do you use it? How to record images? Problems, tips and tricks Overview
More informationBasler. Area Scan Cameras
Basler Area Scan Cameras VGA to 5 megapixels and up to 210 fps Selected high quality Sony and Kodak CCD sensors Powerful Gigabit Ethernet interface Superb image quality at all resolutions and frame rates
More informationPatient Information Content
KORNMEHL LASER EYE ASSOCIATES Patient Information Content Near Vision Loss Understanding Near Vision Loss Why is My Near Vision Changing? In our 40 s and 50 s, we begin to experience the naturally frustrating
More informationAutomated Optical Inspection is one of many manufacturing test methods common in the assembly of printed circuit boards. This list includes:
What is AOI? Automated Optical Inspection is one of many manufacturing test methods common in the assembly of printed circuit boards. This list includes: Test methods for electronic assemblies: - FT (Functional
More informationThe Limits of Human Vision
The Limits of Human Vision Michael F. Deering Sun Microsystems ABSTRACT A model of the perception s of the human visual system is presented, resulting in an estimate of approximately 15 million variable
More informationAbsolute Value Equations and Inequalities
. Absolute Value Equations and Inequalities. OBJECTIVES 1. Solve an absolute value equation in one variable. Solve an absolute value inequality in one variable NOTE Technically we mean the distance between
More informationVECTORAL IMAGING THE NEW DIRECTION IN AUTOMATED OPTICAL INSPECTION
VECTORAL IMAGING THE NEW DIRECTION IN AUTOMATED OPTICAL INSPECTION Mark J. Norris Vision Inspection Technology, LLC Haverhill, MA mnorris@vitechnology.com ABSTRACT Traditional methods of identifying and
More informationCalculation of Minimum Distances. Minimum Distance to Means. Σi i = 1
Minimum Distance to Means Similar to Parallelepiped classifier, but instead of bounding areas, the user supplies spectral class means in n-dimensional space and the algorithm calculates the distance between
More informationVIRGINIA WESTERN COMMUNITY COLLEGE
36T Revised Fall 2015 Cover Page 36TITD 112 21TDesigning Web Page Graphics Program Head: Debbie Yancey Revised: Fall 2015 Dean s Review: Deborah Yancey Dean 21T Lab/Recitation Revised Fall 2015 None ITD
More informationProtocol for Microscope Calibration
Protocol for Microscope Calibration A properly calibrated system is essential for successful and efficient software use. The following are step by step instructions on how to calibrate the hardware using
More informationHow To Run Statistical Tests in Excel
How To Run Statistical Tests in Excel Microsoft Excel is your best tool for storing and manipulating data, calculating basic descriptive statistics such as means and standard deviations, and conducting
More informationpb tec solutions GmbH, Max-Planck-Str. 11, 63755 Alzenau (Germany) Tel.: +49 6023 94771 0 Fax: +49 6023 94771 29 www.pbtecsolutions.
pb tec solutions GmbH, Max-Planck-Str. 11, 63755 Alzenau (Germany) Tel.: +49 6023 94771 0 Fax: +49 6023 94771 29 www.pbtecsolutions.de info@pbtecsolutions.de Model Description AOI systems MV-3 MV-6E/EM
More informationMovie 11. Preparing images for print
Movie 11 Preparing images for print 1 Judge the print, not the monitor It is difficult, if not impossible to judge how much you should sharpen an image for print output by looking at the monitor. Even
More informationOptical Tracking Using Projective Invariant Marker Pattern Properties
Optical Tracking Using Projective Invariant Marker Pattern Properties Robert van Liere, Jurriaan D. Mulder Department of Information Systems Center for Mathematics and Computer Science Amsterdam, the Netherlands
More informationComputer Vision. License Plate Recognition Klaas Dijkstra - Jaap van de Loosdrecht
Computer Vision License Plate Recognition Klaas Dijkstra - Jaap van de Loosdrecht 25 August 2014 Copyright 2001 2014 by NHL University of Applied Sciences and Van de Loosdrecht Machine Vision BV All rights
More informationNew Features in TerraPhoto. Arttu Soininen Software developer Terrasolid Ltd
New Features in TerraPhoto Arttu Soininen Software developer Terrasolid Ltd Tie Status for Images View / Fields menu command for selecting visible fields in Tie points window Each image has a tie status
More informationNew development of automation for agricultural machinery
New development of automation for agricultural machinery a versitale technology in automation of agriculture machinery VDI-Expertenforum 2011-04-06 1 Mechanisation & Automation Bigger and bigger Jaguar
More informationShape Measurement of a Sewer Pipe. Using a Mobile Robot with Computer Vision
International Journal of Advanced Robotic Systems ARTICLE Shape Measurement of a Sewer Pipe Using a Mobile Robot with Computer Vision Regular Paper Kikuhito Kawasue 1,* and Takayuki Komatsu 1 1 Department
More informationWhitepaper. Image stabilization improving camera usability
Whitepaper Image stabilization improving camera usability Table of contents 1. Introduction 3 2. Vibration Impact on Video Output 3 3. Image Stabilization Techniques 3 3.1 Optical Image Stabilization 3
More informationWHITE PAPER. Methods for Measuring Flat Panel Display Defects and Mura as Correlated to Human Visual Perception
Methods for Measuring Flat Panel Display Defects and Mura as Correlated to Human Visual Perception Methods for Measuring Flat Panel Display Defects and Mura as Correlated to Human Visual Perception Abstract
More informationSelf-Calibrated Structured Light 3D Scanner Using Color Edge Pattern
Self-Calibrated Structured Light 3D Scanner Using Color Edge Pattern Samuel Kosolapov Department of Electrical Engineering Braude Academic College of Engineering Karmiel 21982, Israel e-mail: ksamuel@braude.ac.il
More informationCopyright 2013 wolfssl Inc. All rights reserved. 2
- - Copyright 2013 wolfssl Inc. All rights reserved. 2 Copyright 2013 wolfssl Inc. All rights reserved. 2 Copyright 2013 wolfssl Inc. All rights reserved. 3 Copyright 2013 wolfssl Inc. All rights reserved.
More informationData Storage 3.1. Foundations of Computer Science Cengage Learning
3 Data Storage 3.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: List five different data types used in a computer. Describe how
More informationSAMPLE MIDTERM QUESTIONS
Geography 309 Sample MidTerm Questions Page 1 SAMPLE MIDTERM QUESTIONS Textbook Questions Chapter 1 Questions 4, 5, 6, Chapter 2 Questions 4, 7, 10 Chapter 4 Questions 8, 9 Chapter 10 Questions 1, 4, 7
More informationE70 Rear-view Camera (RFK)
Table of Contents (RFK) Subject Page Introduction..................................................3 Rear-view Camera..............................................3 Input/Output...................................................4
More informationSocial Media Mining. Data Mining Essentials
Introduction Data production rate has been increased dramatically (Big Data) and we are able store much more data than before E.g., purchase data, social media data, mobile phone data Businesses and customers
More informationAssessment of Camera Phone Distortion and Implications for Watermarking
Assessment of Camera Phone Distortion and Implications for Watermarking Aparna Gurijala, Alastair Reed and Eric Evans Digimarc Corporation, 9405 SW Gemini Drive, Beaverton, OR 97008, USA 1. INTRODUCTION
More information3D Vision Based Mobile Mapping and Cloud- Based Geoinformation Services
3D Vision Based Mobile Mapping and Cloud- Based Geoinformation Services Prof. Dr. Stephan Nebiker FHNW University of Applied Sciences and Arts Northwestern Switzerland Institute of Geomatics Engineering,
More informationObject Tracking System using Stereo Vision and LabVIEW Algorithms
Volume 55, Number 1-2, 2014 71 Object Tracking System using Stereo Vision and LabVIEW Algorithms Rodica HOLONEC, Romul COPÎNDEAN, Florin DRAGAN, Valentin Dan ZAHARIA Faculty of Electrical Engineering,
More informationFace detection is a process of localizing and extracting the face region from the
Chapter 4 FACE NORMALIZATION 4.1 INTRODUCTION Face detection is a process of localizing and extracting the face region from the background. The detected face varies in rotation, brightness, size, etc.
More informationAuto Head-Up Displays: View-Through for Drivers
Auto Head-Up Displays: View-Through for Drivers Head-up displays (HUD) are featuring more and more frequently in both current and future generation automobiles. One primary reason for this upward trend
More informationBeyond Built-in: Why a Better Webcam Matters
Whitepaper: Beyond Built-in: Why a Better Webcam Matters How to Uplevel Your Ability to Connect, Communicate and Collaborate Using Your Laptop or PC Introduction The ability to virtually communicate and
More informationRobot Perception Continued
Robot Perception Continued 1 Visual Perception Visual Odometry Reconstruction Recognition CS 685 11 Range Sensing strategies Active range sensors Ultrasound Laser range sensor Slides adopted from Siegwart
More informationEmbedded Vision on FPGAs. 2015 The MathWorks, Inc. 1
Embedded Vision on FPGAs 2015 The MathWorks, Inc. 1 Enhanced Edge Detection in MATLAB Test bench Read Image from File Add noise Frame To Pixel Median Filter Edge Detect Pixel To Frame Video Display Design
More informationGet The Picture: Visualizing Financial Data part 1
Get The Picture: Visualizing Financial Data part 1 by Jeremy Walton Turning numbers into pictures is usually the easiest way of finding out what they mean. We're all familiar with the display of for example
More informationProfessor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia
Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia As of today, the issue of Big Data processing is still of high importance. Data flow is increasingly growing. Processing methods
More informationReal-time pedestrian detection in FIR and grayscale images
Real-time pedestrian detection in FIR and grayscale images Dissertation zur Erlangung des Grades eines Doktor-Ingenieurs(Dr.-Ing.) an der Fakultät für Elektrotechnik und Informationstechnik der Ruhr-Universität
More informationIntelligent Flexible Automation
Intelligent Flexible Automation David Peters Chief Executive Officer Universal Robotics February 20-22, 2013 Orlando World Marriott Center Orlando, Florida USA Trends in AI and Computing Power Convergence
More informationINDUSTRIAL VISION. Don Braggins, UK Industrial Vision Association
CMM 3_7 PROGRESS_Layout 1 05/11/2010 15:58 Page 45 Don Braggins, UK Industrial Vision Association INDUSTRIAL VISION AND MICRO MANUFACTURING MAIN IMAGE: Figure 4. Effects on an image of varying the angle
More informationC# Implementation of SLAM Using the Microsoft Kinect
C# Implementation of SLAM Using the Microsoft Kinect Richard Marron Advisor: Dr. Jason Janet 4/18/2012 Abstract A SLAM algorithm was developed in C# using the Microsoft Kinect and irobot Create. Important
More informationEye-tracking. Benjamin Noël
Eye-tracking Benjamin Noël Basics Majority of all perceived stimuli through the eyes Only 10% through ears, skin, nose Eye-tracking measuring movements of the eyes Record eye movements to subsequently
More informationDetection of the Single Image from DIBR Based on 3D Warping Trace and Edge Matching
Journal of Computer and Communications, 2014, 2, 43-50 Published Online March 2014 in SciRes. http://www.scirp.org/journal/jcc http://dx.doi.org/10.4236/jcc.2014.24007 Detection of the Single Image from
More informationLIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK
vii LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK LIST OF CONTENTS LIST OF TABLES LIST OF FIGURES LIST OF NOTATIONS LIST OF ABBREVIATIONS LIST OF APPENDICES
More informationIntroduction Epipolar Geometry Calibration Methods Further Readings. Stereo Camera Calibration
Stereo Camera Calibration Stereo Camera Calibration Stereo Camera Calibration Stereo Camera Calibration 12.10.2004 Overview Introduction Summary / Motivation Depth Perception Ambiguity of Correspondence
More informationA. OPENING POINT CLOUDS. (Notepad++ Text editor) (Cloud Compare Point cloud and mesh editor) (MeshLab Point cloud and mesh editor)
MeshLAB tutorial 1 A. OPENING POINT CLOUDS (Notepad++ Text editor) (Cloud Compare Point cloud and mesh editor) (MeshLab Point cloud and mesh editor) 2 OPENING POINT CLOUDS IN NOTEPAD ++ Let us understand
More informationHow to Choose the Right Network Cameras. for Your Surveillance Project. Surveon Whitepaper
How to Choose the Right Network Cameras for Your Surveillance Project Surveon Whitepaper From CCTV to Network, surveillance has changed from single professional-orientated technology to one integrated
More informationCollaborative Data Analysis on Wall Displays
Collaborative Data Analysis on Wall Displays Challenges for Visualization Petra Isenberg (petra.isenberg@inria.fr) Anastasia Bezerianos (anastasia.bezerianos@lri.fr) 2 [source: The Diverse and Exploding
More informationBeyond the Traditional Rig Count with Drillinginfo
December 2015 Beyond the Traditional Rig Count with Drillinginfo How Drillinginfo is Revolutionizing Rig Intelligence with Real Time Data on the U.S. Rig Fleet Rig Counts Rig counts have long been used
More informationMethod for measuring stereo camera depth accuracy based on stereoscopic vision
Method for measuring stereo camera depth accuracy based on stereoscopic vision Mikko Kytö*, Mikko Nuutinen, Pirkko Oittinen Aalto University School of Science and Technology, Department of Media Technology,
More informationAutomatic Restoration Algorithms for 35mm film
P. Schallauer, A. Pinz, W. Haas. Automatic Restoration Algorithms for 35mm film. To be published in Videre, Journal of Computer Vision Research, web: http://mitpress.mit.edu/videre.html, 1999. Automatic
More informationPrinciple of Thermal Imaging
Section 8 All materials, which are above 0 degrees Kelvin (-273 degrees C), emit infrared energy. The infrared energy emitted from the measured object is converted into an electrical signal by the imaging
More information3D MODEL DRIVEN DISTANT ASSEMBLY
3D MODEL DRIVEN DISTANT ASSEMBLY Final report Bachelor Degree Project in Automation Spring term 2012 Carlos Gil Camacho Juan Cana Quijada Supervisor: Abdullah Mohammed Examiner: Lihui Wang 1 Executive
More informationInformation Security in Big Data: Privacy and Data Mining (IEEE, 2014) Dilara USTAÖMER 2065787
Information Security in Big Data: Privacy and Data Mining (IEEE, 2014) Dilara USTAÖMER 2065787 2015/5/13 OUTLINE Introduction User Role Based Methodology Data Provider Data Collector Data Miner Decision
More informationBasic Manual Control of a DSLR Camera
Basic Manual Control of a DSLR Camera Naixn 2008 Photographers don t just take photographs - they make them! Produced by Yon Ankersmit for curious-eye.com 2009 Digital Single Lens Reflex Camera The basic
More informationA Reliability Point and Kalman Filter-based Vehicle Tracking Technique
A Reliability Point and Kalman Filter-based Vehicle Tracing Technique Soo Siang Teoh and Thomas Bräunl Abstract This paper introduces a technique for tracing the movement of vehicles in consecutive video
More informationA Prototype For Eye-Gaze Corrected
A Prototype For Eye-Gaze Corrected Video Chat on Graphics Hardware Maarten Dumont, Steven Maesen, Sammy Rogmans and Philippe Bekaert Introduction Traditional webcam video chat: No eye contact. No extensive
More informationReal Time 3D motion tracking for interactive computer simulations
Real Time 3D motion tracking for interactive computer simulations Brenton Bailey Supervisor: Dr. Tony Field Second Marker: Prof Alexander Wolf June 2007 Abstract Motion tracking has been employed by industry
More informationPDF Created with deskpdf PDF Writer - Trial :: http://www.docudesk.com
CCTV Lens Calculator For a quick 1/3" CCD Camera you can work out the lens required using this simple method: Distance from object multiplied by 4.8, divided by horizontal or vertical area equals the lens
More informationData Storage. Chapter 3. Objectives. 3-1 Data Types. Data Inside the Computer. After studying this chapter, students should be able to:
Chapter 3 Data Storage Objectives After studying this chapter, students should be able to: List five different data types used in a computer. Describe how integers are stored in a computer. Describe how
More informationIS (Iris Security) Research, Imaging Equipment, University/Education
IS (Iris Security) Gerardo Iovane, Francesco Saverio Tortoriello Researchers Dipartimento di Ingegneria Informatica e Matematica Applicata Università degli Studi di Salerno Research, Imaging Equipment,
More informationOptical Digitizing by ATOS for Press Parts and Tools
Optical Digitizing by ATOS for Press Parts and Tools Konstantin Galanulis, Carsten Reich, Jan Thesing, Detlef Winter GOM Gesellschaft für Optische Messtechnik mbh, Mittelweg 7, 38106 Braunschweig, Germany
More informationA neural approach to zoom-lens camera calibration from data with outliers
Image and Vision Computing 20 (2002) 619 630 www.elsevier.com/locate/imavis A neural approach to zoom-lens camera calibration from data with outliers Moumen Ahmed, Aly Farag* CVIP Laboratory, University
More informationScanning and Measuring Autoradiograms with a Document Scanner
Scanning and Measuring Autoradiograms with a Document Scanner By Bruce Venning (Phoretix International Ltd / England) Many scientists are now using standard commercial document scanners to capture images
More informationNational Scenic Byways Program Image Style Guide
National Scenic Byways Program Image Style Guide The National Scenic Byways Program (NSBP) wants to make sure that its online digital image library includes media ready photos for all designated byways.
More informationHow an electronic shutter works in a CMOS camera. First, let s review how shutters work in film cameras.
How an electronic shutter works in a CMOS camera I have been asked many times how an electronic shutter works in a CMOS camera and how it affects the camera s performance. Here s a description of the way
More information