An interesting practical and theoretical problem is putting bounds on how much computation one needs to find the stereo-disparity between two narrow-angle stereo scenes. By narrow angle I mean situations wherein the angle subtended by the eyes is a very few degrees: the kind of correlation-disparity method discussed here probably isn't applicable to the wide-angle stereo we'll usually use for scene-analysis in the Project. The method we consider is to find the local maximum of local correlation between the left and right scenes, over a range of displacements along the eye-eye axis. Obviously this is a simple-minded method that will fail in certain situations: here we are not interested in bad cases so much as in getting estimates of the min...
. We present a new, efficient stereo algorithm addressing robust disparity estimation in the presenc...
The problems under consideration center around the interpretation of binocular stereo disparity. I...
A stereo algorithm that can estimate multiple depths in semi-transparent images is presented. The al...
In order to improve the performance of correlation-based disparity computation of stereo vision algo...
In the correlation model for stereo vision, local binocular disparity is determined by calculating t...
International audienceBinocular fixation is achieved by rotating the eyes, but this process also tra...
AbstractComputational models of stereopsis employ a number of algorithms that constrain stereo match...
We are considering the problem of recovering the three-dimensional geometry of a scene from binocula...
Several computational models have been proposed to account for the abilities of human observers in s...
Perception of stereoscopic depth requires that visual systems solve a correspondence problem: find p...
The spatial limits of disparity averaging were investigated using Julesz random dot stereograms with...
Earlier studies showed that the disparity with respect to other visible points could not explain ste...
Several computational models have been proposed to account for the abilities of human observers in s...
Perception of stereoscopic depth requires that visual systems solve a correspondence problem: find p...
Early neural mechanisms for the measurement of binocular disparity appear to operate in a manner con...
. We present a new, efficient stereo algorithm addressing robust disparity estimation in the presenc...
The problems under consideration center around the interpretation of binocular stereo disparity. I...
A stereo algorithm that can estimate multiple depths in semi-transparent images is presented. The al...
In order to improve the performance of correlation-based disparity computation of stereo vision algo...
In the correlation model for stereo vision, local binocular disparity is determined by calculating t...
International audienceBinocular fixation is achieved by rotating the eyes, but this process also tra...
AbstractComputational models of stereopsis employ a number of algorithms that constrain stereo match...
We are considering the problem of recovering the three-dimensional geometry of a scene from binocula...
Several computational models have been proposed to account for the abilities of human observers in s...
Perception of stereoscopic depth requires that visual systems solve a correspondence problem: find p...
The spatial limits of disparity averaging were investigated using Julesz random dot stereograms with...
Earlier studies showed that the disparity with respect to other visible points could not explain ste...
Several computational models have been proposed to account for the abilities of human observers in s...
Perception of stereoscopic depth requires that visual systems solve a correspondence problem: find p...
Early neural mechanisms for the measurement of binocular disparity appear to operate in a manner con...
. We present a new, efficient stereo algorithm addressing robust disparity estimation in the presenc...
The problems under consideration center around the interpretation of binocular stereo disparity. I...
A stereo algorithm that can estimate multiple depths in semi-transparent images is presented. The al...