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Shape from texture: ideal observers and human psychophysics

MPG-Autoren
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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Blake, A., Bülthoff, H., & Sheinberg, D. (1996). Shape from texture: ideal observers and human psychophysics. In D. Knill, & W. Richards (Eds.), Perception as Bayesian Inference (pp. 287-321). Cambridge, UK: Cambridge University Press.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-EBDA-7
Zusammenfassung
Texture cues in the image plane are a potentially rich source of surface information available to the human observer. A photograph of a cornfield, for example, can give a compelling impression of the orientation of the ground plane relative to the observer. Gibson (1950) designed the first experiments to test the ability of humans to use this texture information in their estimation of surface orientation. Since that time, various authors have proposed and tested hypotheses concerning the relative importance of different visual cues in human judgements of shape from texture (Cutting & Millard, 1984; Todd & Akerstrom, 1987). This work has generally relied on a cue conflict paradigm in which one cue is varied while the other is held constant. This is potentially problematic, since surfaces with conflicting texture cues do not occur in nature. It is possible that in a psychophysical experiment our visual system might employ a different mechanism to resolve the cue conflict condition. We show in this paper that the strength of individual texture cues can be measured and compared with an ideal observer model without resorting to a cue conflict paradigm.

Ideal observer models for estimation of shape from texture have been described by Witkin (1981), Kanatani & Chou (1989), Davis et al. (1983), Blake & Marinos (1990), Marinos & Blake (1990). Given basic assumptions about the distribution and orientation of texture elements, an estimate of surface orientation can be obtained, together with crucial information about reliability of the estimate.