Presentation | 2007-09-04 Invariant codes for similar transformations and its application to Shape Matching Eiji Yoshida, Seiichi Mita, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a new method of shape matching. Our proposed method encodes the contour of an object by using the curvature of an object. If two objects are similar (translation, rotation and scaling) in shape, these codes themselves or their cyclic shift have the same values. We have compared our method with other methods such as Fourier descriptor, CSS(curvature scale space) and shape context. We have shown that the computational cost of our method is lower than that of CSS and moreover the recognition rate of our method is nearly the same as CSS. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | shape matching / invariant code / curvature / shape classification |
Paper # | PRMU2007-73,HIP2007-82 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2007/8/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Invariant codes for similar transformations and its application to Shape Matching |
Sub Title (in English) | |
Keyword(1) | shape matching |
Keyword(2) | invariant code |
Keyword(3) | curvature |
Keyword(4) | shape classification |
1st Author's Name | Eiji Yoshida |
1st Author's Affiliation | Toyota Technological Institute() |
2nd Author's Name | Seiichi Mita |
2nd Author's Affiliation | Toyota Technological Institute |
Date | 2007-09-04 |
Paper # | PRMU2007-73,HIP2007-82 |
Volume (vol) | vol.107 |
Number (no) | 206 |
Page | pp.pp.- |
#Pages | 6 |
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