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Is Depth Perception of Stereo Plaids Predicted by Intersection of Constraints, Vector Average or Second-order Features?

Delicato, Louise and Qian, Ning (2005) Is Depth Perception of Stereo Plaids Predicted by Intersection of Constraints, Vector Average or Second-order Features? Vision Research, 45 (1). pp. 75-89. ISSN 00426989

Item Type: Article

Abstract

Stereo plaid stimuli were created to investigate whether depth perception is determined by an intersection of constraints (IOC) or vector average (VA) operation on the Fourier components, or by the second-order (non-Fourier) feature in a pattern. We first created stereo plaid stimuli where IOC predicted vertical disparity, VA predicted positive diagonal disparity and the second-order feature predicted negative diagonal disparity. In a depth discrimination task, observers indicated whether they perceived the pattern as 'near' or 'far' relative to a zero-disparity aperture. Observers' perception was consistent with the disparity predicted by VA, indicating its dominance over IOC and the second-order feature in this condition. Additional stimuli in which VA predicted vertical disparity were created to investigate whether VA would dominate perception when it was a less reliable cue. In this case, observers' performance was consistent with disparity predicted by IOC or the second-order feature, not VA. Finally, in order to determine whether the second-order feature contributes to depth perception, stimuli were created where IOC and VA predicted positive horizontal disparity while the second-order feature predicted negative horizontal disparity. When the component gratings were oriented near horizontal (+/- 83 degrees from vertical), depth perception corresponded to that predicted by the second-order feature. However, as the components moved away from horizontal (+/- 75 degrees and +/- 65 degrees from vertical), depth perception was increasingly likely to be predicted by an IOC or VA operation. These experiments suggest that the visual system does not rely exclusively on a single method for computing pattern disparity. Instead, it favours the most reliable method for a given condition. (c) 2004 Elsevier Ltd. All rights reserved.

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More Information

Depositing User: Rachel Webb

Identifiers

Item ID: 267
Identification Number: https://doi.org/10.1016/j.visres.2004.07.028
ISSN: 00426989
URI: http://sure.sunderland.ac.uk/id/eprint/267
Official URL: http://www.sciencedirect.com/science?_ob=ArticleUR...

Users with ORCIDS

ORCID for Louise Delicato: ORCID iD orcid.org/0000-0001-8271-2324

Catalogue record

Date Deposited: 13 Jan 2010 10:48
Last Modified: 02 Jul 2019 09:04

Contributors

Author: Louise Delicato ORCID iD
Author: Ning Qian

University Divisions

Faculty of Health Sciences and Wellbeing > School of Psychology

Subjects

Psychology > Neuropsychology

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