Hierarchical 3D diffusion wavelet shape priors

In this paper, we propose a novel representation of prior knowledge for image segmentation, using diffusion wavelets that can reflect arbitrary continuous interdependencies in shape data. The application of diffusion wavelets has, so far, largely been confined to signal processing. In our approach,...

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Bibliographic Details
Main Authors: Essafi, Salma (Author), Langs, Georg (Contributor), Paragios, Nikos (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-10-13T20:57:24Z.
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