A Theory of Human Stereo Vision

An algorithm is proposed for solving the stereoscopic matching problem. The algorithm consists of five steps: 1.) Each image is filtered with bar masks of four sizes that vary with eccentricity; the equivalent filters are about one octave wide. 2.) Zero-crossings of the mask values are localiz...

Full description

Bibliographic Details
Main Authors: Marr, D., Poggio, T.
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6093
_version_ 1826195744021807104
author Marr, D.
Poggio, T.
author_facet Marr, D.
Poggio, T.
author_sort Marr, D.
collection MIT
description An algorithm is proposed for solving the stereoscopic matching problem. The algorithm consists of five steps: 1.) Each image is filtered with bar masks of four sizes that vary with eccentricity; the equivalent filters are about one octave wide. 2.) Zero-crossings of the mask values are localized, and positions that correspond to terminations are found. 3.) For each mask size, matching takes place between pairs of zero crossings or terminations of the same sign in the two images, for a range of disparities up to about the width of the mask's central region. 4.) Wide masks can control vergence movements, thus causing small masks to come into correspondence. 5.) When a correspondence is achieved, it is written into a dynamic buffer, called the 2-1/2-D sketch. It is shown that this proposal provides a theoretical framework for most existing psychophysical and neurophysiological data about stereopsis. Several critical experimental predictions are also made, for instance about the size of Panum's area under various conditions. The results of such experiments would tell us whether, for example, cooperativity is necessary for the fusion process.
first_indexed 2024-09-23T10:14:45Z
id mit-1721.1/6093
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T10:14:45Z
publishDate 2004
record_format dspace
spelling mit-1721.1/60932019-04-12T08:29:03Z A Theory of Human Stereo Vision Marr, D. Poggio, T. An algorithm is proposed for solving the stereoscopic matching problem. The algorithm consists of five steps: 1.) Each image is filtered with bar masks of four sizes that vary with eccentricity; the equivalent filters are about one octave wide. 2.) Zero-crossings of the mask values are localized, and positions that correspond to terminations are found. 3.) For each mask size, matching takes place between pairs of zero crossings or terminations of the same sign in the two images, for a range of disparities up to about the width of the mask's central region. 4.) Wide masks can control vergence movements, thus causing small masks to come into correspondence. 5.) When a correspondence is achieved, it is written into a dynamic buffer, called the 2-1/2-D sketch. It is shown that this proposal provides a theoretical framework for most existing psychophysical and neurophysiological data about stereopsis. Several critical experimental predictions are also made, for instance about the size of Panum's area under various conditions. The results of such experiments would tell us whether, for example, cooperativity is necessary for the fusion process. 2004-10-04T14:39:03Z 2004-10-04T14:39:03Z 1977-11-01 AIM-451 http://hdl.handle.net/1721.1/6093 en_US AIM-451 89 p. 5144582 bytes 4007898 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Marr, D.
Poggio, T.
A Theory of Human Stereo Vision
title A Theory of Human Stereo Vision
title_full A Theory of Human Stereo Vision
title_fullStr A Theory of Human Stereo Vision
title_full_unstemmed A Theory of Human Stereo Vision
title_short A Theory of Human Stereo Vision
title_sort theory of human stereo vision
url http://hdl.handle.net/1721.1/6093
work_keys_str_mv AT marrd atheoryofhumanstereovision
AT poggiot atheoryofhumanstereovision
AT marrd theoryofhumanstereovision
AT poggiot theoryofhumanstereovision