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» Image segmentation using curve evolution and flow fields
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PAMI
2006
226views more  PAMI 2006»
13 years 7 months ago
Graph Partitioning Active Contours (GPAC) for Image Segmentation
In this paper we introduce new type of variational segmentation cost functions and associated active contour methods that are based on pairwise similarities or dissimilarities of t...
Baris Sumengen, B. S. Manjunath
ICIP
2000
IEEE
14 years 9 months ago
Feature-Preserving Flows: A Stochastic Differential Equation's View
Evolution equations have proven to be useful in tracking fine to coarse features in a single level curve and/or in an image. In this paper, we give a stochastic insight to a speci...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi
ICPR
2008
IEEE
14 years 2 months ago
A new algorithm for static camera foreground segmentation via active coutours and GMM
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
Chengkai Wan, Baozong Yuan, Zhenjiang Miao
ICCV
2001
IEEE
14 years 9 months ago
Flux Maximizing Geometric Flows
Several geometric active contour models have been proposed for segmentation in computer vision. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constrai...
Alexander Vasilevskiy, Kaleem Siddiqi
TIP
2008
168views more  TIP 2008»
13 years 7 months ago
A Real-Time Algorithm for the Approximation of Level-Set-Based Curve Evolution
Abstract--In this paper, we present a complete and practical algorithm for the approximation of level-set-based curve evolution suitable for real-time implementation. In particular...
Yonggang Shi, William Clement Karl