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» Modeling non-gaussian noise for robust image analysis
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PR
2007
96views more  PR 2007»
13 years 7 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
CVPR
2000
IEEE
14 years 9 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson
CORR
2011
Springer
209views Education» more  CORR 2011»
12 years 11 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin
MICCAI
2000
Springer
13 years 11 months ago
Robust 3D Segmentation of Anatomical Structures with Level Sets
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
C. Baillard, Christian Barillot
MICCAI
2010
Springer
13 years 5 months ago
Texture Guided Active Appearance Model Propagation for Prostate Segmentation
Fusion of Magnetic Resonance Imaging (MRI) and Trans Rectal Ultra Sound (TRUS) images during TRUS guided prostate biopsy improves localization of the malignant tissues. Segmented p...
Soumya Ghose, Arnau Oliver, Robert Marti, Xavier L...