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CVPR
2012
IEEE
13 years 9 months ago
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
Jun He, Laura Balzano, Arthur Szlam
CVPR
2007
IEEE
16 years 8 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
ACCV
2006
Springer
16 years 23 days ago
Multiregion Level Set Tracking with Transformation Invariant Shape Priors
Tracking of regions and object boundaries in an image sequence is a well studied problem in image processing and computer vision. So far, numerous approaches tracking different fea...
Michael Fussenegger, Rachid Deriche, Axel Pinz
CG
2002
Springer
15 years 6 months ago
Shape reconstruction from partially missing data in modal space
To reconstruct the shape of objects from incomplete point sets or noisy images, robust and accurate reconstruction methods are required. This paper presents a physics-based approa...
Soo-Mi Choi, Myoung-Hee Kim
ICCV
2007
IEEE
16 years 8 months ago
A Tool for Topographic Analysis of Electrode Contacts in Human Cortical Stimulation
Electric chronic stimulation of the human motor cortex (ECSM) has been reported to alleviate chronic severe pain. However the mechanism of action of ECSM is still hypothetical. Th...
Jean-Marie Favreau, Simone Hemm, Christophe Nuti, ...