While the field of computer vision drives many of today's digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. 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.
Based on the authors' intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
THEO GEVERS, PhD, is Professor of Computer Science in the Intelligent Systems Lab at the University of Amsterdam in the Netherlands, and CVC Full Professor at the Computer Vision Center in Barcelona, Spain.
ARJAN GIJSENIJ, PhD, was a postdoctoral researcher in the Intelligent Systems Lab at the University of Amsterdam, the Netherlands, while writing this book.
JOOST van de WEIJER, PhD, is a Ramon y Cajal Fellow at the Universitat Autònoma de Barcelona, Spain.
JAN-MARK GEUSEBROEK, PhD, was assistant professor in the Intelligent Systems Lab at the University of Amsterdam, the Netherlands, while writing this book.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. While the field of computer vision drives many of todays digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. 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. Based on the authors intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methodsColor science topics such as color systems, color reflection mechanisms, color invariance, and color constancyDigital image processing, including edge detection, feature extraction, image segmentation, and image transformationsSignal processing techniques for the development of both image processing and machine learningRobotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field. * Covers the most up-to-date research and latest developments on computer vision * Wide range of topics discussed, including colorimetry, color vision, photometric invariance, all with clear applications to computer vision * FTP site with source code of algorithms, links to data sets from the text . This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470890844
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Etat : New. * Covers the most up-to-date research and latest developments on computer vision * Wide range of topics discussed, including colorimetry, color vision, photometric invariance, all with clear applications to computer vision * FTP site with source code of algorithms, links to data sets from the text . Series: Wiley-IS&T Series in Imaging Science and Technology. Num Pages: 384 pages, Illustrations. BIC Classification: RBG. Category: (P) Professional & Vocational. Dimension: 237 x 165 x 23. Weight in Grams: 788. . 2012. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470890844
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