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FGR
2000
IEEE
200views Biometrics» more  FGR 2000»
15 years 4 months ago
The Global Dimensionality of Face Space
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
Penio S. Penev, Lawrence Sirovich
ECCV
2010
Springer
15 years 4 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
ICVS
1999
Springer
15 years 4 months ago
Face-Tracking and Coding for Video Compression
While computing power and transmission bandwidth have both been steadily increasing over the last few years, bandwidth rather than processing power remains the primary bottleneck f...
William E. Vieux, Karl Schwerdt, James L. Crowley
3DIM
2011
IEEE
13 years 12 months ago
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes
—Keypoints on 3D surfaces are points that can be extracted repeatably over a wide range of 3D imaging conditions. They are used in many 3D shape processing applications; for exam...
Clement Creusot, Nick Pears, Jim Austin
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...