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» Face recognition using mixtures of principal components
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FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
14 years 2 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee
AVBPA
2003
Springer
106views Biometrics» more  AVBPA 2003»
14 years 26 days ago
The NIST HumanID Evaluation Framework
The NIST HumanID Evaluation Framework, or HEF, is an effort to design, implement, and deploy standards for the robust and complete documentation of the biometric system evaluation...
Ross J. Micheals, Patrick Grother, P. Jonathon Phi...
CVPR
2000
IEEE
14 years 9 months ago
Segmenting Visual Actions Based on Spatio-Temporal Motion Patterns
The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. Much of the previous work has focused on the problem of acti...
Yong Rui, P. Anandan
NIPS
1997
13 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
CVPR
2007
IEEE
14 years 9 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...