Segmenting Shape Using Deformation Information
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.6 pp.1296-1303
- Publication Date
- 2009/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1296
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Ruiqi GUO, Shinichiro OMACHI, Hirotomo ASO, "Segmenting Shape Using Deformation Information" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 6, pp. 1296-1303, June 2009, doi: 10.1587/transinf.E92.D.1296.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1296/_p
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@ARTICLE{e92-d_6_1296,
author={Ruiqi GUO, Shinichiro OMACHI, Hirotomo ASO, },
journal={IEICE TRANSACTIONS on Information},
title={Segmenting Shape Using Deformation Information},
year={2009},
volume={E92-D},
number={6},
pages={1296-1303},
abstract={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.},
keywords={},
doi={10.1587/transinf.E92.D.1296},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - Segmenting Shape Using Deformation Information
T2 - IEICE TRANSACTIONS on Information
SP - 1296
EP - 1303
AU - Ruiqi GUO
AU - Shinichiro OMACHI
AU - Hirotomo ASO
PY - 2009
DO - 10.1587/transinf.E92.D.1296
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2009
AB - 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.
ER -
English
