Some approaches to shape analysis
作者： Washington Mio , Anuj Srivastava
DOI:
关键词: Landmark 、 Pattern recognition 、 Artificial intelligence 、 Mathematics 、 Diffeomorphism 、 Shape matching 、 Principal geodesic analysis 、 Heat kernel signature 、 Point distribution model 、 Active shape model 、 Shape analysis (digital geometry)
摘要: Analysis of shapes is important for image analysis. The notion has been used in a variety ways across the literature. From definition shape, to derivation statistical procedures shape analysis, usage different among papers. In this paper, we summarize common attributes approaches, and compare few commonly ones. particular, focus on landmark-based diffeomorphism approach matching, geometric analyzing curves.
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