Shape-aware surface reconstruction from sparse 3D point-clouds.

Medical Image Analysis(2017)

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摘要
•A surface reconstruction method from sparse data is proposed.•A statistical shape model is used as prior to compensate missing data.•The problem is formulated probabilistically using Gaussian Mixture Models (GMM).•Anisotropic covariances “oriented” by surface normals achieve a surface-based fitting.•A fast approximation having the same complexity as isotropic GMMs is proposed.
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关键词
Sparse shape reconstruction,Statistical shape model,Point distribution model,Gaussian mixture model,Expected conditional maximisation
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