Literature DB >> 7617414

The relationship between stereoacuity and stereomotion thresholds.

B G Cumming1.   

Abstract

There are in principle at least two binocular sources of information that could be used to determine the motion of an object towards or away from an observer; such motion produces changes in binocular disparities over time and also generates different image velocities in the two eyes. It has been argued in the past that stereomotion is detected by a mechanism that is independent of that which detects static disparities. More recently this conclusion has been questioned. If stereomotion detection in fact depends upon detecting disparities, there should be a clear correlation between static stereo-detection thresholds and stereomotion thresholds. If the systems are separate, there need be no such correlation. Four types of threshold measurement were performed by means of random-dot stereograms: (1) static stereo detection/discrimination; (2) stereomotion detection in random-dot stereograms (temporally uncorrelated); (3) stereomotion detection in temporally correlated random-dot stereograms; and (4) binocular detection of frontoparallel motion. Three normal subjects and five subjects with unusually high stereoacuities were studied. In addition, two manipulations were performed that altered stereomotion thresholds: changes in mean disparity, and image defocus produced by positive spectacle lenses. Across subjects and conditions, stereomotion thresholds were well correlated with stereo-discrimination thresholds. Stereomotion was poorly correlated with binocular frontoparallel-motion thresholds. These results suggest that stereomotion is detected by means of registering changes in the output of the same disparity detectors that are used to detect static disparities.

Mesh:

Year:  1995        PMID: 7617414     DOI: 10.1068/p240105

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  2 in total

Review 1.  Binocular Mechanisms of 3D Motion Processing.

Authors:  Lawrence K Cormack; Thaddeus B Czuba; Jonas Knöll; Alexander C Huk
Journal:  Annu Rev Vis Sci       Date:  2017-07-26       Impact factor: 6.422

2.  Effect of depth information on multiple-object tracking in three dimensions: A probabilistic perspective.

Authors:  James R H Cooke; Arjan C Ter Horst; Robert J van Beers; W Pieter Medendorp
Journal:  PLoS Comput Biol       Date:  2017-07-20       Impact factor: 4.475

  2 in total

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