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» A Bayesian approach for image segmentation with shape priors
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CVPR
2008
IEEE
14 years 3 months ago
Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
Nuno Pinho da Silva, João Paulo Costeira
WACV
2002
IEEE
14 years 1 months ago
Segmentation of Myocardium Using Velocity Field Constrained Front Propagation
We present a velocity-constrained front propagation approach for myocardium segmentation from magnetic resonance intensity image (MRI) and its matching phase contrast velocity (PC...
Alexandra L. N. Wong, Huafeng Liu, Pengcheng Shi
MICCAI
2008
Springer
14 years 10 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
IJPRAI
2002
97views more  IJPRAI 2002»
13 years 8 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
ICVGIP
2004
13 years 10 months ago
Probabilistic Measures for Motion Segmentation
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
Venu Madhav Govindu