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Image matching based on singular value decomposition
Zhao, F
2004
发表期刊ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 3, PROCEEDINGS
ISSN0302-9743
卷号3333页码:119-126
摘要This paper presents a simple and effective method for matching two uncalibrated images. First, corner points are extracted in both images separately. Then the initial set of point matches is obtained by singular value decomposition of a well-designed correspondence strength matrix. A new expression of this matrix is introduced to get more reliable initial matches. Last, the epipolar geometry constraint is imposed to reject the false matches. Experimental results on real images show this method to be effective for general image matching.
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000226025400016
出版者SPRINGER-VERLAG BERLIN
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13941
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhao, F
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch Chinese, Beijing 100039, Peoples R China
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GB/T 7714
Zhao, F. Image matching based on singular value decomposition[J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 3, PROCEEDINGS,2004,3333:119-126.
APA Zhao, F.(2004).Image matching based on singular value decomposition.ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 3, PROCEEDINGS,3333,119-126.
MLA Zhao, F."Image matching based on singular value decomposition".ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 3, PROCEEDINGS 3333(2004):119-126.
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