3-D Shape Matching and Non-Rigid Correspondence for Hippocampi Based on Markov Random Fields.

IEEE Transactions on Image Processing(2018)

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摘要
The purpose of this paper is to recover dense correspondence between non-rigid shapes for anatomical objects, which is a key element of disease diagnosis and analysis. We proposed a shape matching framework based on Markov random fields to obtain non-rigid correspondence. We constructed an energy function by summing up two terms where one was a unary term and the other was a binary term. By using ...
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关键词
Shape,Three-dimensional displays,Markov random fields,Minimization,Belief propagation,Clamps,Standards
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