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» Face Recognition Based on Multiple Facial Features
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FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 3 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
MLMI
2007
Springer
14 years 2 months ago
Meeting State Recognition from Visual and Aural Labels
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
Jan Curín, Pascal Fleury, Jan Kleindienst, ...
ICCV
2007
IEEE
14 years 10 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...
ICIP
2006
IEEE
14 years 10 months ago
Light Weight Background Blurring for Video Conferencing Applications
Background blurring is an effective way to both preserving privacy and keeping communication effective during video conferencing. This paper proposes a light weight real-time algo...
Cha Zhang, Yong Rui, Li-wei He
ECCV
2004
Springer
14 years 2 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang