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» Feature Selection for Pose Invariant Face Recognition
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ALT
2006
Springer
15 years 6 months ago
Unsupervised Slow Subspace-Learning from Stationary Processes
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
Andreas Maurer
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 3 months ago
Morphable Face Reconstruction with Multiple Images
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
Ming Zhao 0003, Tat-Seng Chua, Terence Sim
ICPR
2006
IEEE
15 years 3 months ago
Fast Feature Extraction Approach for Multi-Dimension Feature Space Problems
Recently, we proposed a fast feature extraction approach denoted FSOM utilizes Self Organizing Map (SOM). FSOM [1] overcomes the slowness of traditional SOM search algorithm. We i...
Alaa El. Sagheer, Naoyuki Tsuruta, Rin-ichiro Tani...
ICIP
2007
IEEE
15 years 11 months ago
Domain-Partitioning Rankboost for Face Recognition
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
Bangpeng Yao, Haizhou Ai, Yoshihisa Ijiri, Shihong...
CVPR
2008
IEEE
15 years 11 months ago
Face tracking and recognition with visual constraints in real-world videos
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...
Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Hen...