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《Computer Engineering》 2008-13
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SIFT-based Feature Matching Algorithm of Three-view Images

ZHANG Lian-yi, WANG Ai-ping, WAN Guo-wei, LI Si-kun (Computer School, National University of Defence Technology, Changsha 410073)  
This paper proposes a novel method of SIFT-based feature matching of three-view image. SIFT based feature matching algorithm is used in three-view images matching process. Then the trilinear constraint and trifocal-tensor-based pixel transfer error computation method is introduced to remove the outliers produced by the SIFT algorithm. Experiments are carried out on the real three-view images, and the result shows that the algorithm highly improves the veracity of three-view images matching, with 97 percent of the outliers eliminated.
【Fund】: 国家“863”计划基金资助项目(2006AA01Z309)
【CateGory Index】: TP391.41
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