Presentation | 2001/7/11 Active Contour Models for Extracting Facial Images Shogo Yoneyama, Miki Haseyama, Hideo Kitajima, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many different methods for extracting contours using active contour models (Snakes) have been proposed. One method is to use a snake that tries to conform to an a priori shape. This method is used to reduce the sensitivity of the snake to noise, however, one of problems in this method is that if the initial snake includes some objects, the snake can not extract the expected one. To overcome the problem of including objects, we propose to split the snake by using the area term method which has been proposed for extracting concave objects. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | active contour models / contour extraction / split / color information / facial features |
Paper # | IE2001-38,PRMU2001-58,MVE2001-37 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2001/7/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Active Contour Models for Extracting Facial Images |
Sub Title (in English) | |
Keyword(1) | active contour models |
Keyword(2) | contour extraction |
Keyword(3) | split |
Keyword(4) | color information |
Keyword(5) | facial features |
1st Author's Name | Shogo Yoneyama |
1st Author's Affiliation | School of Engineering, Hokkaido University() |
2nd Author's Name | Miki Haseyama |
2nd Author's Affiliation | School of Engineering, Hokkaido University |
3rd Author's Name | Hideo Kitajima |
3rd Author's Affiliation | School of Engineering, Hokkaido University |
Date | 2001/7/11 |
Paper # | IE2001-38,PRMU2001-58,MVE2001-37 |
Volume (vol) | vol.101 |
Number (no) | 202 |
Page | pp.pp.- |
#Pages | 6 |
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