Color in Computer Vision

One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding.

Color in Computer Vision

Author: Theo Gevers

Publisher: John Wiley & Sons

ISBN: 1118350065

Page: 384

View: 369

While the field of computer vision drives many of today’sdigital technologies and communication networks, the topic of colorhas emerged only recently in most computer vision applications. Oneof the most extensive works to date on color in computer vision,this book provides a complete set of tools for working with colorin the field of image understanding. Based on the authors’ intense collaboration for more thana decade and drawing on the latest thinking in the field ofcomputer science, the book integrates topics from color science andcomputer vision, clearly linking theories, techniques, machinelearning, and applications. The fundamental basics, sampleapplications, and downloadable versions of the software and datasets are also included. Clear, thorough, and practical, Colorin Computer Vision explains: Computer vision, including color-driven algorithms andquantitative results of various state-of-the-art methods Color science topics such as color systems, color reflectionmechanisms, color invariance, and color constancy Digital image processing, including edge detection, featureextraction, image segmentation, and image transformations Signal processing techniques for the development of both imageprocessing and machine learning Robotics and artificial intelligence, including such topics assupervised learning and classifiers for object and scenecategorization Researchers and professionals in computer science,computer vision, color science, electrical engineering, and signalprocessing will learn how to implement color in computer visionapplications and gain insight into future developments in thisdynamic and expanding field.

Digital Color Image Processing

In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information ...

Digital Color Image Processing

Author: Andreas Koschan

Publisher: John Wiley & Sons

ISBN: 0470230355

Page: 392

View: 957

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

Computer Vision ECCV 2004

8th European Conference on Computer Vision, Prague, Czech Republic, May 11
-14, 2004. Proceedings European Conference on Computer Vision 2, Tomas
Pajdla, Jiri Matas, ECCV. High-Contrast Color-Stripe Pattern for Rapid ...

Computer Vision   ECCV 2004

Author: Tomas Pajdla

Publisher: Springer Science & Business Media

ISBN: 3540219846

Page: 633

View: 954

The four-volume set comprising LNCS volumes 3021/3022/3023/3024 constitutes the refereed proceedings of the 8th European Conference on Computer Vision, ECCV 2004, held in Prague, Czech Republic, in May 2004. The 190 revised papers presented were carefully reviewed and selected from a total of 555 papers submitted. The four books span the entire range of current issues in computer vision. The papers are organized in topical sections on tracking; feature-based object detection and recognition; geometry; texture; learning and recognition; information-based image processing; scale space, flow, and restoration; 2D shape detection and recognition; and 3D shape representation and reconstruction.

Handbook of Pattern Recognition and Computer Vision

... 2.3 COLOR IN COMPUTER VISION QUANG-TUANLUONG INRIA Sophia-
Antipolis, 2004 route des Lucioles, 06561 Valbonne Ceder, France Email: luong
Osophia.inria.fr The use of color in computer vision has received growing
attention.

Handbook of Pattern Recognition and Computer Vision

Author: C. H. Chen

Publisher: World Scientific

ISBN: 9789810222765

Page: 996

View: 181

"The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures."--BOOK JACKET.

Computer Vision ECCV 94

However, the color observed through images is often changed by the fluctuation
of illumination. It is difficult to use such color as a stable feature in computer
vision. On the other hand, human visual system has a function called color
constancy ...

Computer Vision   ECCV  94

Author: Jan-Olof Eklundh

Publisher: Springer Science & Business Media

ISBN: 9783540579571

Page: 488

View: 200

Computer vision - ECCV'94. -- v. 1

Color Image Processing

This book is part of the Digital Imaging and Computer Vision series.

Color Image Processing

Author: Rastislav Lukac

Publisher: CRC Press

ISBN: 1420009788

Page: 600

View: 575

Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing. The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging. To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy. The remaining chapters detail the latest techniques and approaches to contemporary and traditional color image processing and analysis for a broad spectrum of sophisticated applications, including: Vector and semantic processing Secure imaging Object recognition and feature detection Facial and retinal image analysis Digital camera image processing Spectral and superresolution imaging Image and video colorization Virtual restoration of artwork Video shot segmentation and surveillance Color Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications. This book is part of the Digital Imaging and Computer Vision series.

Computer Vision ACCV 98

Improved Supervised Color Constancy for Color Inspection Bai Xuesheng Xu
Guangyou Computer Vision Laboratory , Information Research Group
Department of Computer Science , Tsinghua University , Beijing 100084 , P.R.C
Abstract In ...

Computer Vision   ACCV 98

Author: Roland Chin

Publisher: Springer Science & Business Media

ISBN: 9783540639305

Page: 761

View: 190

These two volumes constitute the refereed proceedings of the Third Asian Conference on Computer Vision, ACCV'98, held in Hong Kong, China, in January 1998. The volumes present together a total of 58 revised full papers and 112 revised posters selected from over 300 submissions. The papers are organized in topical sections on biometry, physics-based vision, color vision, robot vision and navigation, OCR and applications, low-level processing, active vision, face and hand posture recognition, segmentation and grouping, computer vision and virtual reality, motion analysis, and object recognition and modeling.

Computer Vision and Information Technology

Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image ...

Computer Vision and Information Technology

Author: K. V. Kale

Publisher: I. K. International Pvt Ltd

ISBN: 9380026951

Page: 1056

View: 158

Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction

Computer Vision ECCV 96

Color Angular Indexing Graham D. Finlayson1, Subho S. Chatterjee2 and Brian
V. Funt2 1 Department of Computer Science, University of York, York YO1 5DD,
UK 2 School of Computing Science, Simon Fraser University, Vancouver,
Canada ...

Computer Vision   ECCV 96

Author: Bernard Buxton

Publisher: Springer Science & Business Media

ISBN: 9783540611233

Page: 723

View: 749

Handbook of Machine and Computer Vision

Related to monochrome Machine Vision solutions colored light of small
wavelength ranges will emphasize or tone down single colors (see Section 3.4.
2.1 and Figure 3.36). This produces high contrasts between parts of different
colors.

Handbook of Machine and Computer Vision

Author: Alexander Hornberg

Publisher: John Wiley & Sons

ISBN: 3527413391

Page: 848

View: 297

The second edition of this accepted reference work has been updated to reflect the rapid developments in the field and now covers both 2D and 3D imaging. Written by expert practitioners from leading companies operating in machine vision, this one-stop handbook guides readers through all aspects of image acquisition and image processing, including optics, electronics and software. The authors approach the subject in terms of industrial applications, elucidating such topics as illumination and camera calibration. Initial chapters concentrate on the latest hardware aspects, ranging from lenses and camera systems to camera-computer interfaces, with the software necessary discussed to an equal depth in later sections. These include digital image basics as well as image analysis and image processing. The book concludes with extended coverage of industrial applications in optics and electronics, backed by case studies and design strategies for the conception of complete machine vision systems. As a result, readers are not only able to understand the latest systems, but also to plan and evaluate this technology. With more than 500 images and tables to illustrate relevant principles and steps.

Feature Extraction and Image Processing for Computer Vision

CHAPTER. 13. Appendix. 4: Color. images. 13.1 Color images .................................
................................................................ 542 13.2 Tristimulus theory ...............................
........................................................... 542 13.3 Color models .

Feature Extraction and Image Processing for Computer Vision

Author: Mark Nixon

Publisher: Academic Press

ISBN: 0123978246

Page: 632

View: 580

Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Computer Vision ACCV 2006

7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16,
2006, Proceedings P.J. Narayanan, Shree K. Nayar Heung-Yeung Shum.
Symmetric Color Ratio in Spiral Architecture Wenjing Jia, Huaifeng Zhang,
Xiangjian He, ...

Computer Vision   ACCV 2006

Author: P.J. Narayanan

Publisher: Springer Science & Business Media

ISBN: 9783540312444

Page: 980

View: 846

Welcometothe7thAsianConferenceonComputerVision.Itgivesusgreatpl- sure to bring forth its proceedings. ACCV has been making its rounds through the Asian landscape and came to India this year. We are proud of the technical program we have put together and we hope you enjoy it. Interest in computer vision is increasing and ACCV 2006 attracted about 500 submission. The evaluation team consisted of 27 experts serving as Area Chairs and about 270 reviewers in all. The whole process was conducted electronically in a double-blind manner,a ?rstfor ACCV. Eachpaper wasassignedto an Area Chair who found three competent reviewers for it. We were able to contain the maximum load on the reviewers to nine and the average load to less than six. The review form had space for qualitative and quantitative evaluation of the paper on nine aspects. The submitted reviews underwent an elaborate process. First, they were seen by the Area Chair, who resolved divergences of opinion among reviewers, if any. The Area Chair then wrote qualitative comments and a quantitative score along with his/her initial recommendation on the paper. These were looked at by Program Co-chairs and compiled into a probables list. The Area Chairs and Program Co-chairs met in Beijing during ICCV to discuss this list and arrivedat the ?nal list of 64 oral papers and 128 posters. Naturally, many deserving papers could not be accommodated.

Advances in Computer Vision and Information Technology

COLOR IMAGE SEGMENTATION USING WAVELET TRANSFORM 1Kanchan
Deshmukh and 2G.N. Shinde ... It is an essential step toward higher level of
image processing such as image analysis, pattern recognition and computer
vision [1].

Advances in Computer Vision and Information Technology

Author: K. V. Kale

Publisher: I. K. International Pvt Ltd

ISBN: 8189866745

Page: 1688

View: 165

The latest trends in Information Technology represent a new intellectual paradigm for scientific exploration and visualization of scientific phenomena. The present treatise covers almost all the emerging technologies in the field. Academicians, engineers, industralists, scientists and researchers engaged in teaching, research and development of Computer Science and Information Technology will find the book useful for their future academic and research work. The present treatise comprising 225 articles broadly covers the following topics exhaustively. 01. Advance Networking and Security/Wireless Networking/Cyber Laws 02. Advance Software Computing 03. Artificial Intelligence/Natural Language Processing/ Neural Networks 04. Bioinformatics/Biometrics 05. Data Mining/E-Commerce/E-Learning 06. Image Processing, Content Based Image Retrieval, Medical and Bio-Medical Imaging, Wavelets 07. Information Processing/Audio and Text Processing/Cryptology, Steganography and Digital Watermarking 08. Pattern Recognition/Machine Vision/Image Motion, Video Processing 09. Signal Processing and Communication/Remote Sensing 10. Speech Processing & Recognition, Human Computer Interaction 11. Information and Communication Technology

Computer Vision ECCV 2008

10th European Conference on Computer Vision, Marseille, France, October 12-
18, 2008 : Proceedings David Forsyth, Philip Torr ... The color proposition could
then be interactively corrected by user-provided color landmarks if necessary.

Computer Vision   ECCV 2008

Author: David Forsyth

Publisher: Springer Science & Business Media

ISBN: 3540886893

Page: 826

View: 990

The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.

Computer Vision ECCV 2006

9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006 :
Proceedings Aleš Leonardis, Horst Bischof, Axel Pinz. Video and Image
Bayesian Demosaicing with a Two Color Image Prior Eric P. Bennett1, Matthew ...

Computer Vision   ECCV 2006

Author: Aleš Leonardis

Publisher: Springer Science & Business Media

ISBN: 3540338322

Page: 639

View: 598

Computer Vision and Graphics

AUTOMATIC AND ADAPTIVE FACE TRACKING USING COLOR-BASED
PROBABILISTIC NETWORK Shu-Fai Wong and Kwan-Yee Kenneth Wong
Department of Computer Science, The University of Hong Kong { sfwong,
kykwong } ...

Computer Vision and Graphics

Author: K. Wojciechowski

Publisher: Springer Science & Business Media

ISBN: 1402041799

Page: 502

View: 847

As the speed, capabilities, and economic advantages of modern digital devices c- tinue to grow, the need for ef?cient information processing, especially in computer - sion and graphics, dramatically increases. Growth in these ?elds stimulated by eme- ing applications has been both in concepts and techniques. New ideas, concepts and techniques are developed, presented, discussed and evaluated, subsequently expanded or abandoned. Such processes take place in different forms in various ?elds of the c- puter science and technology. The objectives of the ICCVG are: presentation of current research topics and d- cussions leading to the integration of the community engaged in machine vision and computer graphics, carrying out and supporting research in the ?eld and ?nally pro- tion of new applications. The ICCVG is a continuation of the former International Conference on Computer Graphics and Image Processing called GKPO, held in Poland every second year in May since 1990, organized by the Institute of Computer Science of the Polish Academy of Sciences, Warsaw and chaired by the Editor of the International Journal of Machine Graphics and Vision, Prof. Wojciech S. Mokrzycki.

Computer Vision

This text draws on that experience, as well as on computer vision courses he has taught at the University of Washington and Stanford.

Computer Vision

Author: Richard Szeliski

Publisher: Springer Science & Business Media

ISBN: 9781848829350

Page: 812

View: 746

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Computer Vision ECCV 2002

7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-
31, 2002, Proceedings Anders Heyden, ... To overcome these limiting
assumptions, we propose a method based on color analysis and multibaseline
stereo that ...

Computer Vision   ECCV 2002

Author: Anders Heyden

Publisher: Springer Science & Business Media

ISBN: 3540437460

Page: 919

View: 875

Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year’s conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the nal selection, for the rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors’identity.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Color Image Segmentation in a Quaternion Framework ̈Ozlem N. Subakan and
Baba C. Vemuri⋆ Department of Computer and Information Science and
Engineering, University of Florida, Gainesville, FL, 32611, USA {ons ...

Energy Minimization Methods in Computer Vision and Pattern Recognition

Author: Daniel Cremers

Publisher: Springer Science & Business Media

ISBN: 3642036406

Page: 494

View: 928

This book constitutes the refereed proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2009, held in Bonn, Germany in August 2009. The 18 revised full papers, 18 poster papers and 3 keynote lectures presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on discrete optimization and Markov random fields, partial differential equations, segmentation and tracking, shape optimization and registration, inpainting and image denoising, color and texture and statistics and learning.

OpenCV Computer Vision Application Programming Cookbook Second Edition

Encapsulation also permits you to modify an algorithm's implementation without
impacting the classes that use it. This principle is illustrated in the next recipe,
where we will modify the ColorDetector class algorithm in order to use another
color ...

OpenCV Computer Vision Application Programming Cookbook Second Edition

Author: Robert Laganière

Publisher: Packt Publishing Ltd

ISBN: 178216149X

Page: 374

View: 449

OpenCV 3 Computer Vision Application Programming Cookbook is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can also be used as a companion book in a university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.