Several studies showed that cue integration is close to optimal when two or more cues are available simultaneously. However, most of these studies consider only constant cues. Here we investigate how different depth cues interact when they are not presented simultaneously but they are alternating. We ask whether there is fusion of cues in time and how the interaction between cues depends on the frequency of alternation. To study this, we presented two surfaces in alternation at six different frequencies (from 0.8 to 15 Hz). One surface was defined by a random-dot pattern displayed in stereo (disparity-defined surface); the other was defined by a monocularly viewed regular texture (texture-defined surface). The angle between the two surfaces...
AbstractAn optimal linear system for integrating visual cues to 3D surface geometry weights cues in ...
Different types of texture produce differences in slant-discrimination performance (P. Rosas, F. A. ...
A common assumption in cue combination models is that small discrepancies between cues are due to th...
Several studies showed that cue integration is close to optimal when two or more cues are available ...
Cue-conflict studies have been used with considerable success to examine the mechanisms underlying t...
How does the visual system combine information from different depth cues to estimate three-dimension...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Poster Session - 3D Perception: Cue combination: no. 56.442This journal issue entitled: Vision Scien...
AbstractObservers viewed large dichoptic patterns undergoing smooth temporal modulations or step cha...
AbstractWe examined the dependency of the integration of multiple depth cues upon the combined cues ...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Reliable estimation of three-dimensional (3D) surface orientation is critical for recognizing and in...
An optimal linear system for integrating visual cues to 3D surface geometry weights cues in inverse ...
Purpose: The optimal, linear way to combine information from multiple cues is to weight cues accordi...
AbstractAn optimal linear system for integrating visual cues to 3D surface geometry weights cues in ...
Different types of texture produce differences in slant-discrimination performance (P. Rosas, F. A. ...
A common assumption in cue combination models is that small discrepancies between cues are due to th...
Several studies showed that cue integration is close to optimal when two or more cues are available ...
Cue-conflict studies have been used with considerable success to examine the mechanisms underlying t...
How does the visual system combine information from different depth cues to estimate three-dimension...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Poster Session - 3D Perception: Cue combination: no. 56.442This journal issue entitled: Vision Scien...
AbstractObservers viewed large dichoptic patterns undergoing smooth temporal modulations or step cha...
AbstractWe examined the dependency of the integration of multiple depth cues upon the combined cues ...
In a number of models of depth cue combination the depth percept is constructed via a weighted avera...
Reliable estimation of three-dimensional (3D) surface orientation is critical for recognizing and in...
An optimal linear system for integrating visual cues to 3D surface geometry weights cues in inverse ...
Purpose: The optimal, linear way to combine information from multiple cues is to weight cues accordi...
AbstractAn optimal linear system for integrating visual cues to 3D surface geometry weights cues in ...
Different types of texture produce differences in slant-discrimination performance (P. Rosas, F. A. ...
A common assumption in cue combination models is that small discrepancies between cues are due to th...