1088 search results - page 6 / 218 » Robust Principal Component Analysis for Computer Vision |
ICCV
1999
IEEE
13 years 11 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
IJCV
2006
13 years 7 months ago
2006
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...