45 search results - page 4 / 9 » Using Mixture Covariance Matrices to Improve Face and Facial... |
ACII
2005
Springer
14 years 27 days ago
2005
Springer
This paper proposes a new facial expression recognition method which combines Higher Order Local Autocorrelation (HLAC) features with Weighted PCA. HLAC features are computed at ea...
PR
2008
13 years 7 months ago
2008
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
IVC
2006
13 years 7 months ago
2006
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
SMI
2007
IEEE
14 years 1 months ago
2007
IEEE
We investigate the use of multiple intrinsic geometric attributes, including angles, geodesic distances, and curvatures, for 3D face recognition, where each face is represented by...