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142
Voted
MM
2009
ACM
157views Multimedia» more  MM 2009»
15 years 10 months ago
Face image modeling by multilinear subspace analysis with missing values
The main difficulty in face image modeling is to decompose those semantic factors contributing to the formation of the face images, such as identity, illumination and pose. One p...
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wa...
155
Voted
ACII
2005
Springer
15 years 9 months ago
Face Alignment Under Various Poses and Expressions
In this paper, we present a face alignment system to deal with various poses and expressions. In addition to global shape model, we use component shape model such as mouth shape mo...
Shengjun Xin, Haizhou Ai
148
Voted
CVPR
1998
IEEE
16 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
140
Voted
ICPR
2002
IEEE
16 years 4 months ago
Color-Based Face Detection Using Skin Locus Model and Hierarchical Filtering
This paper introduces a new architecture for face detection in color images. Based on skin locus and successive detectors, the method allows high efficiency under drastically vary...
Abdenour Hadid, Birgitta Martinkauppi, Matti Pieti...
97
Voted
CEC
2005
IEEE
15 years 9 months ago
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...