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» Robust Visual Tracking using L1 Minimization
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ECCV
2002
Springer
16 years 1 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ECCV
2010
Springer
15 years 5 months ago
Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...
ICML
2010
IEEE
15 years 26 days ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
VISUALIZATION
2005
IEEE
15 years 5 months ago
Surface Reconstruction Via Contour Metamorphosis: An Eulerian Approach With Lagrangian Particle Tracking
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...
Ola Nilsson, David E. Breen, Ken Museth
AVSS
2007
IEEE
15 years 6 months ago
Sign language detection using 3D visual cues
A 3D visual hand gesture recognition method is proposed that detects correctly performed signs from stereo camera input. Hand tracking is based on skin detection with an adaptive ...
Jeroen Lichtenauer, Gineke A. ten Holt, Emile A. H...