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» Face Recognition Based on Discriminative Manifold Learning
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CVPR
2004
IEEE
15 years 11 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
SINOBIOMETRICS
2004
Springer
15 years 3 months ago
Novel Face Detection Method Based on Gabor Features
Gabor-based Face representation has achieved great success in face recognition, while whether and how it can be applied to face detection is rarely studied. This paper originally i...
Jie Chen, Shiguang Shan, Peng Yang, Shengye Yan, X...
PAMI
2007
217views more  PAMI 2007»
14 years 9 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
CVPR
2007
IEEE
15 years 11 months ago
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
Vineeth Nallure Balasubramanian, Jieping Ye, Sethu...
ICCV
2007
IEEE
15 years 11 months ago
Spectral Regression for Efficient Regularized Subspace Learning
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
Deng Cai, Xiaofei He, Jiawei Han