Recovering local surface structure through local phase difference measurements
CVGIP: Image Understanding
ECCV '90 Proceedings of the First European Conference on Computer Vision
Tangent Fields from Population Coding
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Relationship Between Phase and Energy Methods for Disparity Computation
Neural Computation
Computing stereo disparity and motion with known binocular cell properties
Neural Computation
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In this paper we describe a statistical framework for binocular disparity estimation. We use a bank of Gabor filters to compute multiscale phase signatures at detected feature points. Using a von Mises distribution,w e calculate correspondence probabilities for the feature points in different images using the phase differences at different scales. The disparity map is computed using the set of maximum likelihood correspondences.