Presentation	2008-11-27 Image Matching by Triangulation of Feature Points Toshiaki WAKAMA, Masahito SHIBA, Yoshihiro OKADA,
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Abstract(in English)	In this paper, we propose a new image matching method with feature points. To extract feature points, we use Scale Invariant Feature Transform (SIFT), which is invariant to image scale and rotation and robust change in illumination etc. Our method eliminates wrong corresponding points by triangulation of feature points and the normalized correlation of the triangle images. This method can handle the transform of object by the triangulation and improvement to match points by processing the triangle in parallel. Evalution of the method is also described.
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Paper #	PRMU2008-115,MVE2008-64
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Committee	MVE
Conference Date	2008/11/20(1days)
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Registration To	Media Experience and Virtual Environment (MVE)
Language	JPN
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Title (in English)	Image Matching by Triangulation of Feature Points
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1st Author's Name	Toshiaki WAKAMA
1st Author's Affiliation	Graduate School of Science and Technology, Ryukoku University()
2nd Author's Name	Masahito SHIBA
2nd Author's Affiliation	Department of Media Informatics, Ryukoku University
3rd Author's Name	Yoshihiro OKADA
3rd Author's Affiliation	Department of Media Informatics, Ryukoku University
Date	2008-11-27
Paper #	PRMU2008-115,MVE2008-64
Volume (vol)	vol.108
Number (no)	328
Page	pp.pp.-
#Pages	6
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