Literature DB >> 10694962

An analysis of binocular slant contrast.

R van Ee1, M S Banks, B T Backus.   

Abstract

When a small frontoparallel surface (a test strip) is surrounded by a larger slanted surface (an inducer), the test strip is perceived as slanted in the direction opposite to the inducer. This has been called the depth-contrast effect, but we call it the slant-contrast effect. In nearly all demonstrations of this effect, the inducer's slant is specified by stereoscopic signals; and other signals, such as the texture gradient, specify that it is frontoparallel. We present a theory of slant estimation that determines surface slant via linear combination of various slant estimators; the weight of each estimator is proportional to its reliability. The theory explains slant contrast because the absolute slant of the inducer and the relative slant between test strip and inducer are both estimated with greater reliability than the absolute slant of the test strip. The theory predicts that slant contrast will be eliminated if the signals specifying the inducer's slant are consistent with one another. It also predicts reversed slant contrast if the inducer's slant is specified by nonstereoscopic signals rather than by stereo signals. These predictions were tested and confirmed in three experiments. The first showed that slant contrast is greatly reduced when the stereo-specified and nonstereo-specified slants of the inducer are made consistent with one another. The second showed that slant contrast is eliminated altogether when the stimulus consists of real planes rather than images on a display screen. The third showed that slant contrast is reversed when the nonstereo-specified slant of the inducer varies and the stereo-specified slant is zero. We conclude that slant contrast is a byproduct of the visual system's reconciliation of conflicting information while it attempts to determine surface slant.

Mesh:

Year:  1999        PMID: 10694962     DOI: 10.1068/p281121

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


  9 in total

1.  Voluntarily controlled bi-stable slant perception of real and photographed surfaces.

Authors:  Raymond van Ee; Gunta Krumina; Sylvia Pont; Sanne van der Ven
Journal:  Proc Biol Sci       Date:  2005-01-22       Impact factor: 5.349

2.  Binocular spatial induction for the perception of depth does not cross the midline.

Authors:  Todd E Hudson; Leonard Matin; Wenxun Li
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-11       Impact factor: 11.205

3.  Early dynamics of stereoscopic surface slant perception.

Authors:  Baptiste Caziot; Benjamin T Backus; Esther Lin
Journal:  J Vis       Date:  2017-12-01       Impact factor: 2.240

4.  Optimal integration of shape information from vision and touch.

Authors:  Hannah B Helbig; Marc O Ernst
Journal:  Exp Brain Res       Date:  2007-01-16       Impact factor: 2.064

5.  Perception of 3D Slant Out of the Box.

Authors:  Katinka van der Kooij; Susan F Te Pas
Journal:  Front Psychol       Date:  2011-06-06

6.  Slant of a Surface Shifts Binocular Visual Direction.

Authors:  Tsutomu Kusano; Koichi Shimono
Journal:  Vision (Basel)       Date:  2018-05-06

7.  Natural scene statistics predict how humans pool information across space in surface tilt estimation.

Authors:  Seha Kim; Johannes Burge
Journal:  PLoS Comput Biol       Date:  2020-06-24       Impact factor: 4.475

8.  Stereo slant discrimination of planar 3D surfaces: Frontoparallel versus planar matching.

Authors:  Can Oluk; Kathryn Bonnen; Johannes Burge; Lawrence K Cormack; Wilson S Geisler
Journal:  J Vis       Date:  2022-04-06       Impact factor: 2.004

9.  Orientation-specific learning of the prior assumption for 3D slant perception.

Authors:  Shuichiro Taya; Masayuki Sato
Journal:  Sci Rep       Date:  2018-07-23       Impact factor: 4.379

  9 in total

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