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» From Few to Many: Generative Models for Recognition Under Va...
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FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
13 years 9 months ago
Local Linear Regression (LLR) for Pose Invariant Face Recognition
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao
PAMI
2006
227views more  PAMI 2006»
13 years 5 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
CVPR
2011
IEEE
12 years 9 months ago
An Associate-Predict Model for Face Recognition
Handling intra-personal variation is a major challenge in face recognition. It is difficult how to appropriately measure the similarity between human faces under significantly di...
Qi Yin, Jian Sun, Xiaoou Tang
CVPR
2012
IEEE
11 years 7 months ago
Unsupervised co-segmentation through region matching
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
José C. Rubio, Joan Serrat, Antonio M. L&oa...
ICCV
2005
IEEE
14 years 7 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...