The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Segmenter une forme en parties est un problème important dans la représentation et l’analyse de formes. Nous proposons dans cet article un nouveau cadre de segmentation de forme utilisant des modèles de déformation appris à partir de plusieurs formes. Le modèle de déformation de l’image cible vers une image sur deux est ensuite estimé. Enfin, une partition de graphe à coupe normalisée est appliquée au graphe construit sur la base de la similarité des patchs locaux dans l'image cible, et une segmentation de la forme est effectuée. Les résultats expérimentaux pour les images de la base de données de formes MPEG7 montrent l'efficacité de la méthode proposée.
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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},}
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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 -