The University of Southampton
University of Southampton Institutional Repository

Robust and optimal use of information in stereo vision

Robust and optimal use of information in stereo vision
Robust and optimal use of information in stereo vision
Differences between the left and right eye's views of the world carry information about three-dimensional scene structure and about the position of the eyes in the head. The contemporary Bayesian approach to perception, implies that human performance in using this source of eye-position information can be analysed most usefully by comparison with the performance of a statistically optimal observer. Here we argue that the comparison observer should also be statistically robust, and we find that this requirement leads to qualitatively new behaviours. For example, when presented with a class of stereoscopic stimuli containing inconsistent information about eccentricity of gaze, estimates of this gaze parameter recorded from one robust ideal observer bifurcate at a critical value of stimulus inconsistency. We report an experiment in which human observers also show this phenomenon and we use the experimentally determined critical value to estimate the vertical acuity of the visual system. The Bayesian analysis also provides a highly reliable and biologically plausible algorithm that can recover eye positions even before the classic stereo-correspondence problem is solved, that is, before deciding which features in the left and right images are to be matched.
0028-0836
63-66
Porrill, John
095ced9b-05c6-4211-a26d-59fac74791bb
Frisby, John P.
de8ffbb0-8d8e-4216-9f45-4d258e113946
Adams, Wendy J.
25685aaa-fc54-4d25-8d65-f35f4c5ab688
Buckley, David
9c732a4b-a8cc-4352-afa2-7e951ec6fc3e
Porrill, John
095ced9b-05c6-4211-a26d-59fac74791bb
Frisby, John P.
de8ffbb0-8d8e-4216-9f45-4d258e113946
Adams, Wendy J.
25685aaa-fc54-4d25-8d65-f35f4c5ab688
Buckley, David
9c732a4b-a8cc-4352-afa2-7e951ec6fc3e

Porrill, John, Frisby, John P., Adams, Wendy J. and Buckley, David (1999) Robust and optimal use of information in stereo vision Nature, 397, pp. 63-66. (doi:10.1038/16244).

Record type: Article

Abstract

Differences between the left and right eye's views of the world carry information about three-dimensional scene structure and about the position of the eyes in the head. The contemporary Bayesian approach to perception, implies that human performance in using this source of eye-position information can be analysed most usefully by comparison with the performance of a statistically optimal observer. Here we argue that the comparison observer should also be statistically robust, and we find that this requirement leads to qualitatively new behaviours. For example, when presented with a class of stereoscopic stimuli containing inconsistent information about eccentricity of gaze, estimates of this gaze parameter recorded from one robust ideal observer bifurcate at a critical value of stimulus inconsistency. We report an experiment in which human observers also show this phenomenon and we use the experimentally determined critical value to estimate the vertical acuity of the visual system. The Bayesian analysis also provides a highly reliable and biologically plausible algorithm that can recover eye positions even before the classic stereo-correspondence problem is solved, that is, before deciding which features in the left and right images are to be matched.

Full text not available from this repository.

More information

Published date: 1999

Identifiers

Local EPrints ID: 18645
URI: http://eprints.soton.ac.uk/id/eprint/18645
ISSN: 0028-0836
PURE UUID: c6ea8594-ce8e-43b2-a006-5a37bef38fa9
ORCID for Wendy J. Adams: ORCID iD orcid.org/0000-0002-5832-1056

Catalogue record

Date deposited: 29 Nov 2005
Last modified: 17 Jul 2017 16:35

Export record

Altmetrics

Contributors

Author: John Porrill
Author: John P. Frisby
Author: Wendy J. Adams ORCID iD
Author: David Buckley

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×