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» Image Based Regression Using Boosting Method
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TIP
2008
116views more  TIP 2008»
15 years 2 months ago
Self-Repelling Snakes for Topology-Preserving Segmentation Models
The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
Carole Le Guyader, Luminita A. Vese
111
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PAMI
2007
164views more  PAMI 2007»
15 years 1 months ago
Space-Time Completion of Video
—This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a ...
Yonatan Wexler, Eli Shechtman, Michal Irani
164
Voted
SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
15 years 20 days ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen
PAMI
2011
14 years 9 months ago
Decoupled Active Contour (DAC) for Boundary Detection
— The accurate detection of object boundaries via active contours is an ongoing research topic in computer vision. Most active contours converge towards some desired contour by m...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
ICASSP
2009
IEEE
15 years 9 months ago
Modeling and tracking of faces in real-life illumination conditions
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
Rahul Thota, Archana Kalyansundar, Amit Kale