中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Exploring generalized shape analysis by topological representations

文献类型:期刊论文

作者Zhou, Zhen; Huang, Yongzhen; Wang, Liang; Tan, Tieniu
刊名PATTERN RECOGNITION LETTERS
出版日期2017-02-01
卷号87期号:87页码:177-185
关键词Topology Persistent Homology Shape Analysis Gait Recognition 3d Facial Expression Recognition
DOI10.1016/j.patrec.2016.04.002
文献子类Article
英文摘要One of the most common properties of various data in pattern recognition is the shape, and the shape matters. However, the shape can appear with uncertain appearances, e.g., the shapes of a person in different poses. We realize that the most fundamental feature of any shape is the number of connected components, the number of holes and its higher dimensional counterparts. These are what we call topological invariants. This is the place where topology comes into play for pattern recognition. Persistent homology, one of the most powerful tools in algebraic topology, is proposed to compute these topological invariants at different resolutions. The proposed method, by firstly transferring the given data into a topological graph representation, i.e., the simplicial complex, can assemble discrete points into a global structure. Then by integrating with multiple filtrations and metric learning, both the global structure and different local parts can be taken into account at the same time. We test the proposed method in 21) shape classification, 2.5D gait identification and 3D facial expression recognition. Experimental results demonstrate the effectiveness of this generalized shape analysis method and show its potentials in different applications. Moreover, we provide a new insight for the generalized shape analysis. (C) 2016 Elsevier B.V. All rights reserved.
WOS关键词PERSISTENT HOMOLOGY ; GAIT RECOGNITION ; CLASSIFICATION
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000395616700022
资助机构National Basic Research Program of China(2012C6316300) ; National Natural Science Foundation of China(61135002) ; State Key Laboratory of Mathematical Engineering and Advanced Computing(2015A06)
源URL[http://ir.ia.ac.cn/handle/173211/14428]  
专题自动化研究所_智能感知与计算研究中心
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Zhen,Huang, Yongzhen,Wang, Liang,et al. Exploring generalized shape analysis by topological representations[J]. PATTERN RECOGNITION LETTERS,2017,87(87):177-185.
APA Zhou, Zhen,Huang, Yongzhen,Wang, Liang,&Tan, Tieniu.(2017).Exploring generalized shape analysis by topological representations.PATTERN RECOGNITION LETTERS,87(87),177-185.
MLA Zhou, Zhen,et al."Exploring generalized shape analysis by topological representations".PATTERN RECOGNITION LETTERS 87.87(2017):177-185.

入库方式: OAI收割

来源:自动化研究所

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