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» Layered Object Models for Image Segmentation
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MM
2003
ACM
148views Multimedia» more  MM 2003»
14 years 3 months ago
Nonparametric color characterization using mean shift
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
ICASSP
2011
IEEE
13 years 1 months ago
A region based approach to background modeling in a wavelet multi-resolution framework
In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing ...
Ainhoa Mendizabal, Luis Salgado
CVPR
2007
IEEE
13 years 11 months ago
Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid
Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited, however, by the resolution of...
Ying Bai, Xiao Han, Jerry L. Prince
CVPR
2011
IEEE
13 years 1 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
TIP
2008
222views more  TIP 2008»
13 years 9 months ago
Local Region Descriptors for Active Contours Evolution
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
Cristina Darolti, Alfred Mertins, Christoph Bodens...