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» Face Mosaicing for Pose Robust Video-Based Recognition
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ICPR
2006
IEEE
14 years 8 months ago
Face Recognition by Expression-Driven Sketch Graph Matching
We present a novel face recognition method using automatically extracted sketch by a multi-layer grammatical face model. First, the observed face is parsed into a 3layer (face, pa...
Jiebo Luo, Zijian Xu
PAMI
2006
227views more  PAMI 2006»
13 years 7 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 1 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
ICCV
2001
IEEE
14 years 9 months ago
Face Recognition with Support Vector Machines: Global versus Component-based Approach
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
Bernd Heisele, Purdy Ho, Tomaso Poggio
ECCV
2010
Springer
14 years 24 days ago
Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
Abstract. By coding the input testing image as a sparse linear combination of the training samples via l1-norm minimization, sparse representation based classification (SRC) has b...