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Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images

We present a framework for incorporating prior information about high-probability shapes in the process of contour extraction and object recognition in images. Here one studies shapes as elements of an infinite-dimensional, non-linear quotient space, and statistics of shapes are defined and computed...

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Detalhes bibliográficos
Main Authors: Joshi, Shantanu H., Srivastava, Anuj
Formato: Artigo
Idioma:Inglês
Publicado em: 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2980332/
https://ncbi.nlm.nih.gov/pubmed/21076692
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11263-008-0179-8
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