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» A Novel Method for 3D Surface Mesh Segmentation
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ECCV
2000
Springer
14 years 11 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ICCV
2009
IEEE
15 years 2 months ago
Convex Multi-Region Segmentation on Manifolds
In this paper, we address the problem of segmenting data defined on a manifold into a set of regions with uniform properties. In particular, we propose a numerical method when the ...
Amaël Delaunoy, Ketut Fundana, Emmanuel Prados, A...
3DIM
2007
IEEE
14 years 3 months ago
Surface Reconstruction from Point Clouds by Transforming the Medial Scaffold
We propose an algorithm for surface reconstruction from unorganized points based on a view of the sampling process as a deformation from the original surface. In the course of thi...
Ming-Ching Chang, Frederic F. Leymarie, Benjamin B...
PG
2002
IEEE
14 years 2 months ago
Texture Mapping with a Jacobian-Based Spatially-Variant Filter
In this paper, we describe a new method to map a texture on a surface with a spatially-variant filter. Our filter takes into consideration the effects of anisotropy using a Jaco...
Ke Deng, Jingdan Zhang, Lifeng Wang, Baining Guo
ICPR
2000
IEEE
14 years 10 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...