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» Probabilistic Reasoning Models for Face Recognition
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CVPR
1998
IEEE
14 years 5 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler
CVPR
2005
IEEE
14 years 5 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
ICCV
2007
IEEE
13 years 7 months ago
Probabilistic Linear Discriminant Analysis for Inferences About Identity
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Simon J. D. Prince, James H. Elder
FGR
2008
IEEE
221views Biometrics» more  FGR 2008»
13 years 10 months ago
Markovian mixture face recognition with discriminative face alignment
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a b...
Ming Zhao 0003, Tat-Seng Chua
PAMI
2012
11 years 6 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...