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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Untuk membahagikan bentuk kepada bahagian adalah masalah penting dalam perwakilan dan analisis bentuk. Kami mencadangkan dalam makalah ini rangka kerja baru bagi pembahagian bentuk menggunakan model ubah bentuk yang dipelajari daripada pelbagai bentuk. Model ubah bentuk daripada imej sasaran kepada setiap imej lain kemudian dianggarkan. Akhir sekali, partition graf ternormal digunakan pada graf yang dibina berdasarkan persamaan tampalan tempatan dalam imej sasaran, dan pembahagian bentuk dijalankan. Keputusan eksperimen untuk imej daripada pangkalan data bentuk MPEG7 menunjukkan keberkesanan kaedah yang dicadangkan.
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Salinan
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
Salinan
@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},}
Salinan
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 -