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《JOURNAL OF SOFTWARE》 1994-08
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AN IMPROVED STEREO CORRESPONDENCE ALGORITHM BASED ON WAVELET TRANSFORM

Zhong Sheng; Shi Qingyun and Cheng Minde(Department of Mathematics, Peking Uniwnity, Beijing 100871)(The Center of Information Science, Peking Universit Beijing 100871 )(State Key Laboratory on Machine Percoption, Pcing University, Beijing 100871 )  
This paper presents an efficient binocular correspondence algorithm based ondyadic wavelet transform. Compared with the conventional algorithm, this methodachieves higher accuracy and speed (improved by about one order of magnitude). Thestereo images are first d6composed on the dyadic wavelet bases. By analyzing the transform coefficients, the authors get an efficient method to remove noises and extract edges.Some basic constraints for matching, e. g. the one which requires that the edge directionsbe nearly the same, are naturally expressed by the coefficients. More importantly, theycan deduce four useful constraints for selecting the potential matches which they call thesmooth component gradient constraints and the smooth component Laplacian constraints.They have strong disambiguation power and greatly remove those potential matches thatwould cause mismatches, and thus greatly improve the accuracy and speed for matching.
【Fund】: 国家自然科学基金
【CateGory Index】: TP18
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