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Shape Matching and Registration by Data-driven EM

In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target shape. The measure of similarity is defined in terms of the amount of transformation required. The shapes are represented...

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Bibliografiska uppgifter
I publikationen:Comput Vis Image Underst
Huvudupphovsmän: Tu, Zhuowen, Zheng, Songfeng, Yuille, Alan
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2008
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5735840/
https://ncbi.nlm.nih.gov/pubmed/29269996
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cviu.2007.04.004
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