Presentation 2004/9/3
Fast and High-precision 3-D Registration Algorithm using Hierarchical M-ICP
HARUHISA OKUDA, MANABU HASHIMOTO, YASUO KITAAKI, SHUN'ICHI KANEKO,
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Abstract(in English) This paper presents a novel fast and high-precision 3-D registration algorithm. The ICP (Iterative Closest Point) algorithm converges all the 3-D data points of two data sets to the best matching points with minimum evaluation values. This algorithm is broadly used, because it has good availability to many applications. But, it needs many computational costs and it is very sensible to error values. We had proposed the M-ICP algorithm, which is an extension of the ICP algorithm based on modified M-estimation for realization of robustness against outlying gross noise. The proposed algorithm is an extension of the M-ICP with hierarchical searching and selecting matching region approach. Some fundamental experiments utilizing real data of 3-D measurement show effectiveness of the proposed method.
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Paper # PRMU2004-54
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Committee PRMU
Conference Date 2004/9/3(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Fast and High-precision 3-D Registration Algorithm using Hierarchical M-ICP
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1st Author's Name HARUHISA OKUDA
1st Author's Affiliation Advanced Technology R&D Center, Mitsubishi Electric Corporation()
2nd Author's Name MANABU HASHIMOTO
2nd Author's Affiliation Advanced Technology R&D Center, Mitsubishi Electric Corporation
3rd Author's Name YASUO KITAAKI
3rd Author's Affiliation Graduate School of Information Science & Technology, Hokkaido University
4th Author's Name SHUN'ICHI KANEKO
4th Author's Affiliation Graduate School of Information Science & Technology, Hokkaido University
Date 2004/9/3
Paper # PRMU2004-54
Volume (vol) vol.104
Number (no) 290
Page pp.pp.-
#Pages 8
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