86 search results - page 8 / 18 » Principal component analysis of image gradient orientations ... |
AVSS
2009
IEEE
14 years 22 days ago
2009
IEEE
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark d...
CVPR
1998
IEEE
14 years 9 months ago
1998
IEEE
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...
ICB
2007
Springer
13 years 9 months ago
2007
Springer
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
AMFG
2003
IEEE
14 years 28 days ago
2003
IEEE
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
PRL
2007
13 years 7 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...