Presentation | 2007-10-25 Extraction of Structure of Silhouette Images by Weighted Minimum Common Supergraph(Internationa Session 2) Tomo MIYAZAKI, Shinichiro OMACHI, Hirotomo ASO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is desired to recognize objects which are distorted or rotated in images. Since it is difficult to recognize those objects by template matching in images, recognition using graph has been studied. A graph extracted by medial axis transform to a digital silhouette image is not always a graph which represents the essential structure that distincts silhouettes in a category, because of noise and distortion. Our aim in this paper is to extract the essential structure of silhouette. We propose a method to extract the structure by weighted minimum common supergraph. To show the validity of the proposed method, experiments are carried out for categorizing silhouette images using the extracted structure. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Medial Axis / Supergraph / Image Recognition / Shock Graph |
Paper # | PRMU2007-100 |
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Committee | PRMU |
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Conference Date | 2007/10/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extraction of Structure of Silhouette Images by Weighted Minimum Common Supergraph(Internationa Session 2) |
Sub Title (in English) | |
Keyword(1) | Medial Axis |
Keyword(2) | Supergraph |
Keyword(3) | Image Recognition |
Keyword(4) | Shock Graph |
1st Author's Name | Tomo MIYAZAKI |
1st Author's Affiliation | Graduate school of Engineering, Tohoku University() |
2nd Author's Name | Shinichiro OMACHI |
2nd Author's Affiliation | Graduate school of Engineering, Tohoku University |
3rd Author's Name | Hirotomo ASO |
3rd Author's Affiliation | Graduate school of Engineering, Tohoku University |
Date | 2007-10-25 |
Paper # | PRMU2007-100 |
Volume (vol) | vol.107 |
Number (no) | 281 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |