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» Classification of Optical Flow by Constraints
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CVPR
2007
IEEE
14 years 9 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
ICCV
2007
IEEE
14 years 9 months ago
A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting
An interactive framework for soft segmentation and matting of natural images and videos is presented in this paper. The proposed technique is based on the optimal, linear time, co...
Xue Bai, Guillermo Sapiro
CVPR
2010
IEEE
14 years 3 months ago
Recovering Fluid-type Motions Using Navier-Stokes Potential Flow
The classical optical flow assumes that a feature point maintains constant brightness across the frames. For fluidtype motions such as smoke or clouds, the constant brightness ass...
Feng Li, Liwei Xu, Philippe Guyenne, Jingyi Yu
CVPR
2008
IEEE
14 years 9 months ago
Motion from blur
Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be...
Shengyang Dai, Ying Wu
SIAMJO
2000
74views more  SIAMJO 2000»
13 years 7 months ago
A Specialized Interior-Point Algorithm for Multicommodity Network Flows
Abstract. Despite the efficiency shown by interior-point methods in large-scale linear programming, they usually perform poorly when applied to multicommodity flow problems. The ne...
Jordi Castro