Sciweavers

331 search results - page 29 / 67
» On optimizing subspaces for face recognition
Sort
View
CVPR
2008
IEEE
14 years 10 months ago
Recognising faces in unseen modes: A tensor based approach
This paper addresses the limitation of current multilinear techniques (multilinear PCA, multilinear ICA) when applied to face recognition for handling faces in unseen illumination...
Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Sveth...
ICIP
2009
IEEE
13 years 5 months ago
Face identification using linear regression
In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
Imran Naseem, Roberto Togneri, Mohammed Bennamoun
ICCV
2011
IEEE
12 years 8 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
SLSFS
2005
Springer
14 years 1 months ago
Generalization Bounds for Subspace Selection and Hyperbolic PCA
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
Andreas Maurer
JMM2
2006
141views more  JMM2 2006»
13 years 7 months ago
Optimal Weighting of Landmarks for Face Recognition
A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landm...
Rajinda Senaratne, Saman K. Halgamuge