| 講演抄録/キーワード |
| 講演名 |
2007-10-25 17:50
Extraction of Structure of Silhouette Images by Weighted Minimum Common Supergraph ○Tomo Miyazaki・Shinichiro Omachi・Hirotomo Aso(Tohoku Univ.) PRMU2007-100 |
| 抄録 |
(和) |
(まだ登録されていません) |
| (英) |
It is desired to recognize objects which aredistorted 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. |
| キーワード |
(和) |
/ / / / / / / |
| (英) |
Medial Axis / Supergraph / Image Recognition / Shock Graph / / / / |
| 文献情報 |
信学技報, vol. 107, no. 281, PRMU2007-100, pp. 45-49, 2007年10月. |
| 資料番号 |
PRMU2007-100 |
| 発行日 |
2007-10-18 (PRMU) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
PRMU2007-100 |