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» Segmenting Images on the Tensor Manifold
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79
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ICCV
2003
IEEE
16 years 1 months ago
Image Registration with Global and Local Luminance Alignment
Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
Jiaya Jia, Chi-Keung Tang
MICCAI
2007
Springer
16 years 17 days ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
112
Voted
ISBI
2011
IEEE
14 years 3 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
91
Voted
CVPR
2009
IEEE
15 years 3 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
PAMI
2008
225views more  PAMI 2008»
14 years 11 months ago
Inferring Segmented Dense Motion Layers Using 5D Tensor Voting
We present a novel local spatiotemporal approach to produce motion segmentation and dense temporal trajectories from an image sequence. A common representation of image sequences i...
Changki Min, Gérard G. Medioni