Binocular correspondence in stereoscopic vision

For binocular stereoscopic vision to be possible, the visual nervous system needs to perform two tasks with the information available from the left and right eyes. First, features visible from the left eye must be paired up with the corresponding feature as seen from the right eye's vantage point. Second, the geometric information from the matched binocular features must be transformed into an estimate of binocular disparity. In this sense, the paper by Barlow, Blakemore and Pettigrew1 represents the first complete proposal for the neural mechanisms underlying binocular correspondence and the per­ception of stereoscopic depth. They proposed that the feature selectivity of visually-responsive neurons should have a central role in sorting out which visual features in the left eye should match with those in the right eye and that the same group of neurons should provide signals from which binocular disparity could be extracted to signal depth. In short, for the cat's visual system, the neurons in cortical area VI were proposed to be involved in both binocular matching and the recovery of stereoscopic depth. Neurons in VI have a number of obvious monocular feature selectivities that can be exploited for binocular matching, namely the local orientation, spatial frequency and spatial phase of regions of the image's luminance (black/white) contrast. The beha­vioural significance of these features is also con­firmed by numerous psychophysical studies of the stereoscopic capabilities of human vision. Other feature selectivities in VI, such as colour, may have

[1]  C. Blakemore,et al.  The neural mechanism of binocular depth discrimination , 1967, The Journal of physiology.

[2]  I. Ohzawa,et al.  On the neurophysiological organization of binocular vision , 1990, Vision Research.

[3]  P. O. Bishop,et al.  Discrimination of orientation and position disparities by binocularly activated neurons in cat straite cortex. , 1977, Journal of neurophysiology.

[4]  D. P. Andrews Perception of contour orientation in the central fovea part II. Spatial integration , 1967 .

[5]  S. A. Lloyd,et al.  The Role of Disparity Gradient in Stereo Vision , 1985, Perception.

[6]  G. Westheimer SEEING DEPTH WITH TWO EYES: STEREOPSIS , 1994 .

[7]  Cortical neural mechanisms of stereopsis studied with dynamic random-dot stereograms. , 1990, Cold Spring Harbor symposia on quantitative biology.

[8]  G. Westheimer The Ferrier Lecture, 1992. Seeing depth with two eyes: stereopsis , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[9]  C. Blakemore,et al.  A new kind of stereoscopic vision. , 1970, Vision research.

[10]  H. Collewijn,et al.  Motion perception during dichoptic viewing of moving random-dot stereograms , 1985, Vision Research.

[11]  Julie M. Harris,et al.  Objective evaluation of human and computational stereoscopic visual systems , 1994, Vision Research.

[12]  D Marr,et al.  Cooperative computation of stereo disparity. , 1976, Science.

[13]  I. Ohzawa,et al.  Stereoscopic depth discrimination in the visual cortex: neurons ideally suited as disparity detectors. , 1990, Science.

[14]  B. Rogers,et al.  Disparity curvature and the perception of three-dimensional surfaces , 1989, Nature.

[15]  A. Parker,et al.  Efficiency of stereopsis in random-dot stereograms. , 1992, Journal of the Optical Society of America. A, Optics and image science.

[16]  B. Julesz Foundations of Cyclopean Perception , 1971 .

[17]  B JULESZ,et al.  Binocular Depth Perception without Familiarity Cues , 1964, Science.

[18]  Julie M. Harris,et al.  Constraints on human stereo dot matching , 1994, Vision Research.

[19]  G. Westheimer,et al.  The perception of depth in simple figures , 1984, Vision Research.

[20]  C. Blakemore,et al.  A second neural mechanism of binocular depth discrimination , 1972, The Journal of physiology.

[21]  Julie M. Harris,et al.  Independent neural mechanisms for bright and dark information in binocular stereopsis , 1995, Nature.

[22]  J P Frisby,et al.  PMF: A Stereo Correspondence Algorithm Using a Disparity Gradient Limit , 1985, Perception.

[23]  H. Barlow The efficiency of detecting changes of density in random dot patterns , 1978, Vision Research.

[24]  Poggio Gf Cortical neural mechanisms of stereopsis studied with dynamic random-dot stereograms. , 1990 .

[25]  J H Sumnall,et al.  THE CONTRIBUTION OF MOTION INFORMATION TO STEREO MATCHING - A STATISTICAL EFFICIENCY APPROACH , 1995 .