Shape registration in implicit spaces using information theory and free form deformations.

IEEE Trans. Pattern Anal. Mach. Intell., no. 8 (2006): 1303-1318

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摘要

We present a novel, variational and statistical approach for shape registration. Shapes of interest are implicitly embedded in a higher-dimensional space of distance transforms. In this implicit embedding space, registration is formulated in a hierarchical manner: the Mutual Information criterion supports various transformation models and...更多

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