9780470890844 - Color in Computer Vision: Fundamentals and Applications (The Wiley-IS&T Series in Imaging Science and Technology, Band 19) von Gevers, Theo; Gijsenij, Arjan; Van De... (6 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 384.

Gebunden. Zustand: New. 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 .

Hardcover. Zustand: Brand New. 1st edition. 384 pages. 9.30x6.30x0.90 inches. In Stock.

Zustand: 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. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - 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:\* Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods\* Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy\* Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations\* Signal processing techniques for the development of both image processing and machine learning\* Robotics 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.