Color in Computer Vision [...]... handle large amount of visual data Computer vision deals with image understanding and search technology for the management of Color in Computer Vision: Fundamentals and Applications, First Edition Theo Gevers, Arjan Gijsenij, Joost van de Weijer, and Jan-Mark Geusebroek © 2012 John Wiley & Sons, Inc Published 2012 by John Wiley & Sons, Inc 1 1 Introduction large-scale pictorial datasets However, in. .. (e.g., color derivatives), descriptors (e.g., SIFT), and image segmentation Furthermore, based on both mathematical and physical fundamentals, color image feature extraction is presented by integrating differential operators and color invariance Finally, color is studied in the context of machine learning Important topics are color constancy, photometric invariance by learning, and color naming in the... anthropology, and linguistics One of the most in uential works in color naming is the linguistic study of Berlin and Kay on basic color terms In Chapter 17, color names are 7 1 Introduction Color feature extraction Learning Feature extraction Supervised learning Classification Its an image containing a person with a probability of 0.87 Classification Figure 1.4 First, during training, features are extracted and. .. use and exploitation of digital visual information demands for advanced knowledge representations, learning systems, and image understanding techniques As all digital information is nowadays available in color (documents, images, videos, and movies), there is an increasing demand for the use and understanding of color information Although color has been proved to be a central topic in various disciplines,... will occur, and hence demands are urgent for the (automatic) understanding of visual information Moreover, as digital visual information is nowadays available in color format, there is the irreversible necessity for the understanding of visual color information Computer vision deals with the understanding of visual information Although color became a central topic in various disciplines (ranging from... shape and motion is largely unknown This chapter describes the basic Color in Computer Vision: Fundamentals and Applications, First Edition Theo Gevers, Arjan Gijsenij, Joost van de Weijer, and Jan-Mark Geusebroek © 2012 John Wiley & Sons, Inc Published 2012 by John Wiley & Sons, Inc 13 2 Color Vision building blocks of the visual pathway and provides some grip on the factors that affect the fascinating... imaging process, the interplay between light and matter, and how photometric conditions in uence the RGB values in an image are presented In Part II, we consider the research area of extracting color invariant information We build detailed models of the color image formation process and design mathematical methods to infer the quantities of interest Pixel-based and derivative-based photometric invariance... adaptation and color constancy Then, to provide insights in the imaging process, in Chapter 3, the basics on color image formation are presented Reflection models are introduced describing the imaging process and how photometric changes, such as shadows and specularities, in uence the RGB values in an image Additionally, a set of relevant color spaces are enumerated 1.3 Part II: Photometric Invariance In computer. .. Part V: Applications In the final part of the book, we emphasize on the importance of color in several computer vision applications 1.6.1 Retrieval and Visual Exploration In Chapter 16, we follow the state-of-the-art object recognition paradigm consisting of a learning phase and a (runtime) classification phase (Fig 1.4) The learning module consists of color feature extraction and supervised learning strategies... of this long-term collaboration among the authors, our research on color computer vision is a tight connection of color theories, color image processing methods, machine learning, and applications in the field of xv Preface computer vision, such as image segmentation, understanding, and search Even though many of the chapters in the book have their origin as a journal article, we ascertained that our . Data: Color in computer vision : fundamentals and applications / Theo Gevers [et al.]. p. cm. Includes bibliographical references and index. ISBN 97 8-0 -4 7 0-8 908 4-4 (pbk.) 1. Computer vision. 2. Color vision. . including those in industry, interested in the topic of color and computer vision. A prerequisite is a basic knowledge of image processing and computer vision. Further, a general background in. conferences (Computer Vision and Pattern Recognition (CVPR) and the International Conference on Computer Vision (ICCV)), and color conferences (Colour in Graphics, Imaging, and Vision (CGIV) and conferences