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» Boosting linear discriminant analysis for face recognition
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CVPR
2004
IEEE
16 years 3 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman
127
Voted
WACV
2005
IEEE
15 years 7 months ago
Integrating Range and Texture Information for 3D Face Recognition
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
Xiaoguang Lu, Anil K. Jain
PR
2008
159views more  PR 2008»
15 years 1 months ago
Feature fusion of side face and gait for video-based human identification
Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, i...
Xiaoli Zhou, Bir Bhanu
104
Voted
AUSAI
2005
Springer
15 years 7 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee
ISVC
2007
Springer
15 years 8 months ago
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition
In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model r...
Sungkyu Noh, Hanhoon Park, Yoonjong Jin, Jong-Il P...