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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Conference Information
Committee PRMU
Conference Date 2007/10/18(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
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