Perceptual Organization and Visual Recognition von D. Lowe: New (2011)

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pp. 176 Index.

Bestandsnummer des Verk�ufers 2697779720

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Bibliografische Details

Titel: Perceptual Organization and Visual Recognition
Verlag: Springer
Erscheinungsjahr: 2011
Sprache: Englisch
ISBN-10: 1461296048
ISBN-13: 9781461296041
Einband: Softcover
Zustand: New

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Inhaltsangabe

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.

Rese�a del editor

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.

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