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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 22, Iss. 5 — May. 1, 2005
  • pp: 801–809

Texture and haptic cues in slant discrimination:  reliability-based cue weighting without statistically optimal cue combination

Pedro Rosas, Johan Wagemans, Marc O. Ernst, and Felix A. Wichmann  »View Author Affiliations

JOSA A, Vol. 22, Issue 5, pp. 801-809 (2005)

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A number of models of depth–cue combination suggest that the final depth percept results from a weighted average of independent depth estimates based on the different cues available. The weight of each cue in such an average is thought to depend on the reliability of each cue. In principle, such a depth estimation could be statistically optimal in the sense of producing the minimum-variance unbiased estimator that can be constructed from the available information. Here we test such models by using visual and haptic depth information. Different texture types produce differences in slant-discrimination performance, thus providing a means for testing a reliability-sensitive cue-combination model with texture as one of the cues to slant. Our results show that the weights for the cues were generally sensitive to their reliability but fell short of statistically optimal combination—we find reliability-based reweighting but not statistically optimal cue combination.

© 2005 Optical Society of America

OCIS Codes
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5510) Vision, color, and visual optics : Psychophysics
(330.6100) Vision, color, and visual optics : Spatial discrimination
(330.7310) Vision, color, and visual optics : Vision

Original Manuscript: June 14, 2004
Revised Manuscript: November 25, 2004
Manuscript Accepted: November 29, 2004
Published: May 1, 2005

Pedro Rosas, Johan Wagemans, Marc O. Ernst, and Felix A. Wichmann, "Texture and haptic cues in slant discrimination:  reliability-based cue weighting without statistically optimal cue combination," J. Opt. Soc. Am. A 22, 801-809 (2005)

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