The University of Southampton
University of Southampton Institutional Repository

Bayesian combination of ambiguous shape cues

Record type: Article

We investigate how different depth cues are combined when one cue is ambiguous. Convex and concave surfaces produce similar texture projections at large viewing distances. Our study considered unambiguous disparity information and its combination with ambiguous texture information. Specifically, we asked whether disparity and texture were processed separately, before linear combination of shape estimates, or jointly, such that disparity disambiguated the texture information.Vertical ridges of various depths were presented stereoscopically. Their texture was consistent (in terms of maximum likelihood) with both a convex and a concave ridge. Disparity was consistent with either a convex or concave ridge. In a separate experiment the stimuli were defined solely by texture (monocular viewing). Under monocular viewing observers consistently reported the convex interpretation of the texture cue. However, in stereoscopic stimuli, texture information modulated shape from disparity in a way inconsistent with simple linear combination. When disparity indicated a concave surface, a texture pattern perceived as highly convex when viewed monocularly caused the stimulus to appear more concave than a “flat” texture pattern. Our data confirm that different cues can disambiguate each other. Data from both experiments are well modeled by a Bayesian approach incorporating a prior for convexity.

PDF 39948.pdf - Version of Record
Restricted to Repository staff only
Download (888kB)


Adams, Wendy J. and Mamassian, Pascal (2004) Bayesian combination of ambiguous shape cues Journal of Vision, 4, (10), pp. 921-929. (doi:10.1167/4.10.7).

More information

Published date: 1 November 2004
Keywords: cue-combination, depth, texture, stereo, disparity, bayes, bayesian


Local EPrints ID: 39948
ISSN: 1534-7362
PURE UUID: c4b72cd0-3e83-4d2c-af5f-56f1d7213601
ORCID for Wendy J. Adams: ORCID iD

Catalogue record

Date deposited: 05 Jul 2006
Last modified: 17 Jul 2017 15:35

Export record



Author: Wendy J. Adams ORCID iD
Author: Pascal Mamassian

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 supports OAI 2.0 with a base URL of

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.