106 search results - page 11 / 22 » Feature Modelling of PCA Difference Vectors for 2D and 3D Fa... |
ICIP
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
FGR
2006
IEEE
14 years 2 months ago
2006
IEEE
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the spee...
MMM
2005
Springer
14 years 2 months ago
2005
Springer
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
CVPR
2006
IEEE
14 years 2 months ago
2006
IEEE
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...