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» A Model-Based Interactive Object Segmentation Procedure
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PAMI
2007
155views more  PAMI 2007»
13 years 4 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ICCV
2007
IEEE
14 years 7 months ago
Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians
We present a unified method for simultaneously acquiring both the location and the silhouette shape of people in outdoor scenes. The proposed algorithm integrates top-down and bot...
Vinay Sharma, James W. Davis
SIAMIS
2010
378views more  SIAMIS 2010»
12 years 12 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ICCV
2009
IEEE
14 years 10 months ago
Joint optimization of segmentation and appearance models
Many interactive image segmentation approaches use an objective function which includes appearance models as an unknown variable. Since the resulting optimization problem is NP-har...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother
ISBI
2009
IEEE
14 years 1 days ago
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
Amir Alush, Hayit Greenspan, Jacob Goldberger