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Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation (Classic Reprint) - Softcover

 
9781332111435: Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation (Classic Reprint)

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This book presents a novel algorithm for object segmentation in stereo vision, designed by the author to mirror principles of the human visual cortex. The algorithm analyzes a pair of stereo images through a windowed cepstral filter operating on a columnar image architecture inspired by ocular dominance columns. The result is a one-step measurement of disparity, and is resistant to disturbances including blur, size differences, and intensity changes. By explaining and discussing the algorithm in relation to the limitations and advantages of human stereo vision, the author presents a computational solution to a problem which has been elusive in the field of computer vision. Furthermore, the author suggests that the algorithm provides a rationale for the existence of columnar systems in the human brain, both with regard to ocular mixing, and to other modalities. The book will be of interest to researchers in computational stereo and vision science, as well as scholars and students of cognitive science, neuroscience, and artificial intelligence.

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Yehezkel Yeshurun, Eric L. Schwartz
Published by Forgotten Books, 2018
ISBN 10: 1332111432 ISBN 13: 9781332111435
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Paperback. Condition: New. Print on Demand. This book presents a novel algorithm for object segmentation in stereo vision, designed by the author to mirror principles of the human visual cortex. The algorithm analyzes a pair of stereo images through a windowed cepstral filter operating on a columnar image architecture inspired by ocular dominance columns. The result is a one-step measurement of disparity, and is resistant to disturbances including blur, size differences, and intensity changes. By explaining and discussing the algorithm in relation to the limitations and advantages of human stereo vision, the author presents a computational solution to a problem which has been elusive in the field of computer vision. Furthermore, the author suggests that the algorithm provides a rationale for the existence of columnar systems in the human brain, both with regard to ocular mixing, and to other modalities. The book will be of interest to researchers in computational stereo and vision science, as well as scholars and students of cognitive science, neuroscience, and artificial intelligence. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332111435_0

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ISBN 10: 1332111432 ISBN 13: 9781332111435
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332111435

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Yehezkel Yeshurun
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ISBN 10: 1332111432 ISBN 13: 9781332111435
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