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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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【References】
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【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 Liu Shi-gang①② Wu Cheng-ke② Zhao Lu-gang① Ning Ji-feng② ①(National Key Laboratory of ISN,Xidian University,Xi'an 710071,China)②(School of Computer Science,Shanxi Normal University,Xi'an 710065,China);An Iterative Method Based on Subspace for Projective Reconstruction[J];Journal of Electronics & Information Technology;2007-02
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 PENG Bo1,ZHOU Wen-hui2,LIU Ji-lin1(1.Department of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China;2.School of Computer Science,Hangzhou Dianzi University,Hangzhou 310018,Zhejiang,China);Harris Corner Detection-based Stereo Visual Odometry[J];Acta Armamentarii;2007-12
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