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131
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ISBI
2009
IEEE
15 years 9 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
122
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ICIP
2006
IEEE
16 years 4 months ago
Robust Diffusion of Structural Flows for Volumetric Image Interpolation
In this paper we propose a set of algorithms that combine the anisotropic smoothing using the heat kernel with the outlier rejection capability of robust statistics. The proposed ...
Ashish Doshi, Adrian G. Bors
112
Voted
SCALESPACE
2009
Springer
15 years 9 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
MICCAI
2007
Springer
16 years 3 months ago
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement
In algorithms for processing diffusion tensor images, two common ingredients are interpolating tensors, and measuring the distance between them. We propose a new class of interpola...
Gordon L. Kindlmann, Raúl San José E...
151
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PAMI
2007
183views more  PAMI 2007»
15 years 2 months ago
Variational Surface Interpolation from Sparse Point and Normal Data
Many visual cues for surface reconstruction from known views are sparse in nature, e.g. specularities, surface silhouettes and salient features in an otherwise textureless region....
Jan Erik Solem, Henrik Aanæs, Anders Heyden