Robust non-rigid point registration based on feature-dependant finite mixture model

Qiang Sang; Jianzhou Zhang; Zeyun Yu

doi:10.1016/j.patrec.2013.06.019

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Robust non-rigid point registration based on feature-dependant finite mixture model

Qiang Sang Jianzhou Zhang Zeyun Yu

Year: 2013 Journal: Pattern Recognition Letters Vol: 34 (13)Pages: 1557-1565 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2013.06.019

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Keywords:

Robustness (evolution) A priori and a posteriori Expectation–maximization algorithm Mixture model Maximum a posteriori estimation Feature (linguistics) Computer science Maximization Artificial intelligence Point set registration Synthetic data Pattern recognition (psychology) Point distribution model Point (geometry) Algorithm Mathematics Mathematical optimization Maximum likelihood Statistics

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robust non-rigid point registration based on feature-dependant finite mixture model

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