Abstract: The goal of the stereo algorithm is to determine the depth of objects from a stereo pair of images. The procedure of matching homogenous scenes from both images has been considered to be the most difficult problem. The approach described in this paper integrates the processes of feature matching and relational tree-matching techniques. Integration is necessary to ensure the high rate of correct matching results even in regions with many occlusions. The feature-matching technique used here is an adaptive one based on the boundary information from LoG operator, local invariant information detected by FFT operator, and the local curve signature. The relational tree technique is applied when the occlusion occurs. Experimental results are given for a typical photogrammetric stereo image. !26
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