Abstract
The visual system relies on two types of information to interpret
a visual scene: the cues that can be extracted from the retinal images
and prior constraints that are used to disambiguate the scene. Many
studies have looked at how multiple visual cues are combined. We
examined the interaction of multiple prior constraints. The particular
constraints studied here are assumptions the observer makes concerning
the location of the light source (for the shading cue to depth) and
the orientation of a surface (for depth based on image contours).
The reliability of each of the two cues was manipulated by changing
the contrast of different parts of the stimuli. We developed a model
based on elements of Bayesian decision theory that permitted us to
track the weights applied to each of the prior constraints as a function
of the cue reliabilities. The results provided evidence that prior
constraints behave just like visual cues to depth: cues with more
reliable information have higher weight attributed to their corresponding
prior constraint.
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