Oscillatory Binocular System and Temporal Segmentation of Stereoscopic Depth Surfaces

Overview

Journal Biol Cybern

Specialties Neurology
Physiology

Date 1993 Jan 1

PMID 8476979

Citations 1

Authors

T Murata

H Shimizu

Affiliations

Soon will be listed here.

Abstract

A dynamical neural network model of binocular stereopsis is proposed to solve the problem of segmentation which remains ambiguous even when the problem of binocular correspondence is solved. Being compatible with the recent neurophysiological findings (Engel et al. 1991), the model assumes that neural cells show oscillatory activities and that segmentation into a coherent depth surface is coded by synchronization of activities. Employing appropriate constraints for segmentation, the present model shows proper segmentation of depth surfaces and also solves segmentational ambiguity caused by a gap. It is newly shown that binocularly-unmatched monocular cells are discriminated in temporal segmentation of monocular cells caused by recurrent interactions between monocular and binocular cells. Integrative interactions with the other visual components through temporal segmentation are also discussed.

Citing Articles

Stereo vision by self-organization.

Reimann D, Haken H Biol Cybern. 1994; 71(1):17-26.

PMID: 8054383 DOI: 10.1007/BF00198908.

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