Cepstral Filtering on a Columnar Image Architecture (Classic Reprint)

Language: English

Published by Forgotten Books, 2018

1332111432 / 9781332111435

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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.

Seller Inventory # 9781332111435_0

Title
Cepstral Filtering on a Columnar Image Architecture (Classic Reprint)
Author
Yehezkel Yeshurun, Eric L. Schwartz
Publisher
Forgotten Books
Publication year
2018
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1332111432
ISBN 13
9781332111435
Seller catalogs
Psychology

Forgotten Books

London, United Kingdom

5-star seller

AbeBooks seller since June 2, 2021

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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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FB &c Ltd

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