Abstract:
This report describes a stereo algorithm which uses estimates of local image phase to calculate a disparity map for stereo images. Phase difference and local frequency are measured by filtering the stereo images with Gabor filters and their derivatives, and the results are used to calculate the local disparity. Due to the limitations on the possible scale of the measured disparity imposed by the use of local image phase, a coarse-to-fine strategy is implemented to extend the algorithm to any disparity scale. Results obtained with the algorithm are shown on random dot stereograms and artificial images with known ground truths and on real images. 1
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