Literature DB >> 15595895

Bayesian combination of ambiguous shape cues.

Wendy J Adams1, Pascal Mamassian.   

Abstract

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.

Mesh:

Year:  2004        PMID: 15595895     DOI: 10.1167/4.10.7

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  8 in total

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Authors:  Benjamin T Backus; Qi Haijiang
Journal:  Vision Res       Date:  2007-02-15       Impact factor: 1.886

2.  Learning to use illumination gradients as an unambiguous cue to three dimensional shape.

Authors:  Glen Harding; Julie M Harris; Marina Bloj
Journal:  PLoS One       Date:  2012-04-30       Impact factor: 3.240

3.  Redundancy between spectral and higher-order texture statistics for natural image segmentation.

Authors:  Daniel Herrera-Esposito; Leonel Gómez-Sena; Ruben Coen-Cagli
Journal:  Vision Res       Date:  2021-06-30       Impact factor: 1.984

4.  Bayesian Models of Individual Differences.

Authors:  Georgie Powell; Zoe Meredith; Rebecca McMillin; Tom C A Freeman
Journal:  Psychol Sci       Date:  2016-10-23

5.  The effect of active hand movement on visually perceived depth direction.

Authors:  Hiroyuki Umemura
Journal:  PLoS One       Date:  2021-01-06       Impact factor: 3.240

6.  The role of binocular disparity in rapid scene and pattern recognition.

Authors:  Matteo Valsecchi; Baptiste Caziot; Benjamin T Backus; Karl R Gegenfurtner
Journal:  Iperception       Date:  2013-04-16

7.  Effects of specular highlights on perceived surface convexity.

Authors:  Wendy J Adams; James H Elder
Journal:  PLoS Comput Biol       Date:  2014-05-08       Impact factor: 4.475

8.  The Development of Audio-Visual Integration for Temporal Judgements.

Authors:  Wendy J Adams
Journal:  PLoS Comput Biol       Date:  2016-04-14       Impact factor: 4.475

  8 in total

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