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For each pixel in the concerned 2-D images, the changes are characterized roughly in the local surface shape, the texture direction, and the luminance properties, all at a slight overhead cost. The matching is carried out in a hierarchical manner that incorporates several novel ideas that improve its efficiency and robustness. Experiments conducted on both synthetic and natural stereo pairs, and natural video streams, reveal the favorable performance of this new algorithm.<\/jats:p>","DOI":"10.1142\/s0218001403002836","type":"journal-article","created":{"date-parts":[[2003,11,12]],"date-time":"2003-11-12T10:40:51Z","timestamp":1068633651000},"page":"1081-1109","source":"Crossref","is-referenced-by-count":0,"title":["ROBUSTLY ESTIMATING DISPARITY FROM ADAPTIVE DENSE CURVES"],"prefix":"10.1142","volume":"17","author":[{"given":"B. J.","family":"LEI","sequence":"first","affiliation":[{"name":"ICT Group, Department of Mediamatics, ITS, TUDelft, P.O. 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