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» Graph Cut Segmentation with Nonlinear Shape Priors
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CVPR
2008
IEEE
1042views Computer Vision» more  CVPR 2008»
14 years 10 months ago
Graph cut based image segmentation with connectivity priors
Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated obj...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother
MICCAI
2007
Springer
14 years 9 months 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...
DAGM
2007
Springer
14 years 2 months ago
WarpCut - Fast Obstacle Segmentation in Monocular Video
Abstract. Autonomous collision avoidance in vehicles requires an accurate seperation of obstacles from the background, particularly near the focus of expansion. In this paper, we p...
Andreas Wedel, Thomas Schoenemann, Thomas Brox, Da...
CVPR
2008
IEEE
14 years 10 months ago
Graph cut with ordering constraints on labels and its applications
In the last decade, graph-cut optimization has been popular for a variety of pixel labeling problems. Typically graph-cut methods are used to incorporate a smoothness prior on a l...
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu
ICIP
2006
IEEE
14 years 10 months ago
Shape-Based Image Segmentation Using Normalized Cuts
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...
Wenchao Cai, Jue Wu, Albert C. S. Chung