Excerpt from Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation
It is in agreement with known psychophysical limitations and anatomical properties of stereo vision.
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Excerpt from Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation
It is in agreement with known psychophysical limitations and anatomical properties of stereo vision.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Excerpt from Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation
Many primate visual cortex architectures (including the human) have a prominent feature responsible for the mixing of left and right eye visual data: ocular dominance columns represent thin( about 6 minutes of arc) strips of alternating left and right eye input to the brain. In the present paper we show that such an architecture, when operated upon with a cepstral filter, provides a strong cue for binocular stereopsis. Specifically, the vector of binocular disparity may be easily identified in the output of the (columnar based) cepstral filter. This algorithm is illustrated with application to a random dot stereogram and to natural images. We suggest that this provides a fast algorithm for stereo segmentation, in a machine vision context. In a biological context, this may provide a computational rationale for the existence of columnar systems, both with regard to ocular mixing, and to other visual modalities which have a columnar architecture.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 38 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 26055939/1
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9781332111435_0
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