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Perceptual Organization and Visual Recognition. Softcover reprint of the original 1st ed. 1985
・ISBN 978-1-4612-9604-1 paper EUR 99.99
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| 著者・編者 | Lowe, D., |
|---|---|
| シリーズ | (The Springer International Series in Engineering and Computer Science) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2011 |
| ページ数 | 162 pp. |
| 言語 | ENG |
| ニュース番号 | <A04-90018> |
解説
COMPUTER VISION is a field of research that encompasses many objectives. A primary goal has been to construct visual sensors that can provide general-purpose robots with the same information about their surroundings as we receive from our own visual senses. This book takes an important step towards this goal by describing a working computer vision system named SCERPO. This system can recognize known three-dimensional objects in ordinary black-and-white images taken from unknown viewpoints, even when parts of the object are undetectable or hidden from view. A second major goal of computer vision re- search is to provide a computational understanding of human vision. The research presented in this book has many implica- tions for our understanding of human vision, particularly in the areas of perceptual organization and knowledge-based recogni- tion. An attempt has been made to relate each computational result to the relevant areas in the psychology of vision. Since the material is meant to be accessible to a wide range of inter- disciplinary readers, the book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. vii viii PREFACE One of the most important conclusions ansmg from this research is that visual recognition can commonly be achieved directly from the two-dimensional image without any prelim- inary reconstruction of depth information or surface orienta- tion from the visual input.