Weighted averaging is said to be optimal when the weights assigned to the cues minimize the variance of the final estimate. Since the variance of this optimal percept only depends on the variances of the individual cues, irrespective of their values, judgments about a cue conflict stimulus should have the same variance as ones about a cue consistent stimulus. We tested this counter-intuitive prediction with a slant matching experiment using monocular and binocular slant cues. We found that the slant was indeed matched with about the same variance when the cues indicated slants that differed by 15° as when they indicated the same slant. © 2008 Elsevier Ltd. All rights reserved
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Different types of texture produce differences in slant-discrimination performance (P. Rosas, F. A. ...
The visual system uses multiple cues to estimate properties of interest. Since the errors in the est...
AbstractWeighted averaging is said to be optimal when the weights assigned to the cues minimize the ...
AbstractWe test hypotheses concerning human cue combination in a slant estimation task. Observers re...
Natural visual scenes contain several independent sources of information (cues) about a single prope...
Purpose: The optimal, linear way to combine information from multiple cues is to weight cues accordi...
How does the visual system combine information from different depth cues to estimate three-dimension...
A common assumption in cue combination models is that small discrepancies between cues are due to th...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
A number of models of depth cue combination suggest that the final depth percept results from a weig...
An optimal linear system for integrating visual cues to 3D surface geometry weights cues in inverse ...
Rosas P, Wagemans J, Ernst MO, Wichmann FA. Texture and haptic cues in slant discrimination: reliabi...
When looking for a target with a different slant than all the other objects, the time needed is inde...
AbstractAn optimal linear system for integrating visual cues to 3D surface geometry weights cues in ...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Different types of texture produce differences in slant-discrimination performance (P. Rosas, F. A. ...
The visual system uses multiple cues to estimate properties of interest. Since the errors in the est...
AbstractWeighted averaging is said to be optimal when the weights assigned to the cues minimize the ...
AbstractWe test hypotheses concerning human cue combination in a slant estimation task. Observers re...
Natural visual scenes contain several independent sources of information (cues) about a single prope...
Purpose: The optimal, linear way to combine information from multiple cues is to weight cues accordi...
How does the visual system combine information from different depth cues to estimate three-dimension...
A common assumption in cue combination models is that small discrepancies between cues are due to th...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
A number of models of depth cue combination suggest that the final depth percept results from a weig...
An optimal linear system for integrating visual cues to 3D surface geometry weights cues in inverse ...
Rosas P, Wagemans J, Ernst MO, Wichmann FA. Texture and haptic cues in slant discrimination: reliabi...
When looking for a target with a different slant than all the other objects, the time needed is inde...
AbstractAn optimal linear system for integrating visual cues to 3D surface geometry weights cues in ...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Different types of texture produce differences in slant-discrimination performance (P. Rosas, F. A. ...
The visual system uses multiple cues to estimate properties of interest. Since the errors in the est...