文献の詳細
| 言語 | 英語 |
|---|---|
| 著者 | Ruiqi Guo, Shinichiro Omachi, Hirotomo Aso |
| 論文名 | Segmenting Shape Using Deformation Information |
| 論文誌名 | IEICE Transactions on Information and Systems |
| Vol. | E92-D |
| No. | 6 |
| ページ | pp.1296-1303 |
| 年月 | 2009年6月 |
| 要約 | To segment a shape into parts is an important problem in shape representation and analysis. We propose in this paper a novel framework of shape segmentation using deformation models learned from multiple shapes. The deformation model from the target image to every other image is then estimated. Finally, normalized-cut graph partition is applied to the graph constructed based on the similarity of local patches in the target image, and a segmentation of the shape is carried out. Experimental results for images from MPEG7 shape database show the effectiveness of the proposed method. |
@Article {Guo2009,
author = {Ruiqi Guo and Shinichiro Omachi and Hirotomo Aso},
title = {Segmenting Shape Using Deformation Information},
journal = {IEICE Transactions on Information and Systems},
year = {2009},
month = jun,
volume = {E92-D},
number = {6},
pages = {1296--1303}
}