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» Standardization of Face Image Sample Quality
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CVPR
2005
IEEE
14 years 7 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....
CVPR
2007
IEEE
14 years 7 months ago
Quality-Driven Face Occlusion Detection and Recovery
This paper presents a framework to automatically detect and recover the occluded facial region. We first derive a Bayesian formulation unifying the occlusion detection and recover...
Dahua Lin, Xiaoou Tang
PAMI
2012
11 years 7 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
ICIP
2000
IEEE
14 years 7 months ago
Low-Complexity Face-Assisted Video Coding
This paper presents a novel face-assisted video coding scheme to enhance the visual quality of the face regions in video telephony applications. A skin-color based face detection ...
Chia-Wen Lin, Yao-Jen Chang, Yung-Chang Chen
ICIP
2005
IEEE
14 years 7 months ago
Noise in imaging chains: correlations and predictions
Noise is an important factor in image quality. We analyze it in images produced by digital cameras. We show that, beyond the usual standard deviation measurement, spatial correlat...
Jerome Buzzi, Frederic Guichard