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CVPR
2007
IEEE
14 years 9 months ago
Segmenting Images on the Tensor Manifold
In this note, we propose a method to perform segmentation on the tensor manifold, that is, the space of positive definite matrices of given dimension. In this work, we explicitly ...
Yogesh Rathi, Allen Tannenbaum, Oleg V. Michailovi...
CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
14 years 9 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche
PAMI
2010
245views more  PAMI 2010»
13 years 5 months ago
A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking
—We propose a combinatorial solution to determine the optimal elastic matching of a deformable template to an image. The central idea is to cast the optimal matching of each temp...
Thomas Schoenemann, Daniel Cremers
ICAPR
2009
Springer
14 years 1 months ago
Distraction Free Evolution of Active Contours
We propose a novel energy term to make the curve evolution quite robust to spurious edges. The physical intuition behind the formulation is that an object edge is generally contin...
Viswanathan Srikrishnan, Subhasis Chaudhuri
ISVC
2005
Springer
14 years 25 days ago
Riemannian Mean Curvature Flow
In this paper we explicitly derive a level set formulation for mean curvature flow in a Riemannian metric space. This extends the traditional geodesic active contour framework whi...
Raúl San José Estépar, Steven...