It has been postulated that humans can differentiate between millions of gradations in color. Not surprisingly, no completely adequate, detailed catalog of colors has yet been devised, however the quest to understand, record, and depict color is as old as the quest to understand the fundamentals of the physical world and the nature of human consciousness. Rolf Kuehni’s Color Space and Its Divisions: Color Order from Antiquity to the Present represents an ambitious and unprecedented history of man’s inquiry into color order, focusing on the practical applications of the most contemporary developments in the field. Kuehni devotes much of his study to geometric, three-dimensional arrangements of color experiences, a type of system developed only in the mid-nineteenth century. Color spaces are of particular interest for color quality-control purposes in the manufacturing and graphics industries. The author analyzes three major color order systems in detail: Munsell, OSA-UCS, and NCS. He presents historical and current information on color space developments in color vision, psychology, psychophysics, and color technology. Chapter topics include: A historical account of color order systems Fundamentals of psychophysics and the relationship between stimuli and experience Results of perceptual scaling of colors according to attributes History of the development of mathematical color space and difference formulas Analysis of the agreements and discrepancies in psychophysical data describing color differences An experimental plan for the reliable, replicated perceptual data necessary to make progress in the field Experts in academia and industry, neuroscientists, designers, art historians, and anyone interested in the nature of color will find Color Space and Its Divisions to be the authoritative reference in its field.

Applications of Computer Vision in Fashion and Textiles provides a systematic and comprehensive discussion of three key areas that are taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion and textile applications, also reviewing computer vision techniques for textile quality control, including chapters on wavelet transforms, Gibor filters, Fourier transforms, and neural network techniques. Final sections cover recognition, modeling, retrieval technologies and advanced human shape modeling techniques. The book is essential reading for scientists and researchers working in the field of fashion production, quality assurance, product development, textiles, fashion supply chain managers, R&D professionals and managers in the textile industry. - Explores computer vision technology with reference to improving budget, quality and schedule control in textile manufacturing - Provides a thorough understanding of the role of computer vision in developing intelligent systems for the fashion and textiles industries - Elucidates the connections between human body modeling technology and intelligent manufacturing systems

Since antiquity, people have searched for a way to understand the colors we see-what they are, how many there are, and how they can be systematically identified and arranged in some kind of order. How to order colors is not merely a philosophical question, it also has many practical applications in art, design, and commerce. Our intense interest in color and its myriad practical applications have led people throughout history to develop many systems to characterize and order it. The number of color order systems developed throughout history is unknown but ranges in the hundreds. Many are no longer used, but continue to be of historical interest. Despite wrong turns and slow progress, our understanding of color and its order has improved steadily. Although full understanding continues to elude us, it seems clear that it will ultimately come from research in neurobiology, perception and consciousness. Color Ordered is a comprehensive, in-depth compendium of over 170 systems, dating from antiquity to the present. In it, Rolf Kuehni and Andreas Schwarz present a history and categorization of color systems, describe each one using original figures and schematic drawings, and provide a broad review of the underlying theory. Included are a brief overview of color vision and a synthesis of the various systems. This volume is a unique and valuable resource for researchers in color vision, and visual perception, as well as for neuroscientists, art historians, artists, and designers.

This book examines paintings using a computational and quantitative approach. Specifically, it compares paintings to photographs, addressing the strengths and limitations of both. Particular aesthetic practices are examined such as the vista, foreground to background organisation and the depth planes. These are analysed using a range of computational approaches and clear observations are made. New generations of image-capture devices such as Google goggles and the light field camera, promise a future in which the formal attributes of a photograph are made available for editing to a degree that has hitherto been the exclusive territory of painting. In this sense paintings and photographs are converging, and it therefore seems an opportune time to study the comparisons between them. In this context, the book includes cutting-edge work examining how some of the aesthetic attributes of a painting can be transferred to a photograph using the latest computational approaches.

The one-stop reference to the essentials of color science and technology—now fully updated and revised The fully updated Third Edition of Color: An Introduction to Practice and Principles continues to provide a truly comprehensive, non-mathematical introduction to color science, complete with historical, philosophical, and art-related topics. Geared to non-specialists and experts alike, Color clearly explains key technical concepts concerning light, human vision, and color perception phenomena. It covers color order systems in depth, examines color reproduction technologies, and reviews the history of color science as well as its relationship to art and color harmony. Revised throughout to reflect the latest developments in the field, the Third Edition: Features many new color illustrations, now fully incorporated into the text Offers new perspectives on what color is all about, diverging from conventional thinking Includes new information on perception phenomena, color order, and technological advances Updates material on such topics as the CIE colorimetric system and optimal object colors Extends coverage of color reproduction to display systems, photography, and color management Contains a unique timetable of color in science and art, plus a glossary of important terms Praise for the previous editions: "A nice bridge to areas usually not covered in academic visual science programs . . . outstanding." —Joel Pokorny, visual scientist at The University of Chicago "A good addition to any library, this should be useful for the color interests of artists, designers, craftsmen, philosophers, psychologists, color technologies, and students in related fields." —CHOICE

Leading philosophers and scientists consider what conclusions about color can be drawn when the latest analytic tools are applied to the most sophisticated color science.Philosophers and scientists have long speculated about the nature of color. Atomists such as Democritus thought color to be "conventional," not real; Galileo and other key figures of the Scientific Revolution thought that it was an erroneous projection of our own sensations onto external objects. More recently, philosophers have enriched the debate about color by aligning the most advanced color science with the most sophisticated methods of analytical philosophy. In this volume, leading scientists and philosophers examine new problems with new analytic tools, considering such topics as the psychophysical measurement of color and its implications, the nature of color experience in both normal color-perceivers and the color blind, and questions that arise from what we now know about the neural processing of color information, color consciousness, and color language. Taken together, these papers point toward a complete restructuring of current orthodoxy concerning color experience and how it relates to objective reality. Kuehni, Jameson, Mausfeld, and Niederee discuss how the traditional framework of a three-dimensional color space and basic color terms is far too simple to capture the complexities of color experience. Clark and MacLeod discuss the difficulties of a materialist account of color experience. Churchland, Cohen, Matthen, and Westphal offer competing accounts of color ontology. Finally, Broackes and Byrne and Hilbert discuss the phenomenology of color blindness.Contributors Justin Broackes, Alex Byrne, Paul M. Churchland, Austen Clark, Jonathan Cohen, David R. Hilbert, Kimberly A. Jameson, Rolf Kuehni, Don I.A. MacLeod, Mohan Matthen, Rainer Mausfeld, Richard Niederée, Jonathan Westphal

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