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...
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...
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...
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...
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...