Symmetry robust descriptor for non-rigid surface matching

In this paper, we propose a novel shape descriptor that is robust in differentiating intrinsic symmetric points on geometric surfaces. Our motivation is that even the state-of-theart shape descriptors and non-rigid surface matching algorithms suffer from symmetry flips. They cannot differentiate su...

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Bibliographic Details
Main Authors: ZHANG, Zhiyuan, YIN, KangKang, FOONG, Kelvin W. C.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/7944
https://ink.library.smu.edu.sg/context/sis_research/article/8947/viewcontent/document__2_.pdf
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Institution: Singapore Management University
Language: English
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