Presentation 2010-09-05
Fast Template Matching Using Adaptive Block Partitioning and Threshold Estimation
Minoru MORI, Junji YAMATO,
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Abstract(in English) This paper proposes a fast method that reduces the computation cost of template matching. We extend the Multilevel Successive Elimination Algorithm (MSEA) using adaptive block partitioning and threshold estimation techniques. The adaptive block partitioning uses image complexity to realize efficient sub-block partitioning. This gives tighter boundaries and more search point skips at an earlier level. The threshold estimation yields a smaller boundary threshold for skipping search points. This greatly suppresses the number of search points at search start. Experiments show that our proposed method achieves substantial computation time savings and outperforms conventional methods; it is up to 1,500 times faster than Full Search.
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Keyword(in English) Template matching / Successive elimination / Adaptive block partitioning / Threshold estimation
Paper # PRMU2010-72,IBISML2010-44
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Committee PRMU
Conference Date 2010/8/29(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fast Template Matching Using Adaptive Block Partitioning and Threshold Estimation
Sub Title (in English)
Keyword(1) Template matching
Keyword(2) Successive elimination
Keyword(3) Adaptive block partitioning
Keyword(4) Threshold estimation
1st Author's Name Minoru MORI
1st Author's Affiliation NTT Communication Science Laboratories, NTT Corporation()
2nd Author's Name Junji YAMATO
2nd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
Date 2010-09-05
Paper # PRMU2010-72,IBISML2010-44
Volume (vol) vol.110
Number (no) 187
Page pp.pp.-
#Pages 8
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