Sciweavers

CVPR
2010
IEEE
13 years 11 months ago
Cost-Sensitive Subspace Learning for Face Recognition
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Jiwen Lu, Tan Yap-Peng
TSMC
2008
182views more  TSMC 2008»
13 years 12 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
PRL
2007
147views more  PRL 2007»
13 years 12 months ago
Volume measure in 2DPCA-based face recognition
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...
Jicheng Meng, Wenbin Zhang
PRL
2007
287views more  PRL 2007»
13 years 12 months ago
2D and 3D face recognition: A survey
Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weakn...
Andrea F. Abate, Michele Nappi, Daniel Riccio, Gab...
PR
2007
136views more  PR 2007»
13 years 12 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi
PR
2007
192views more  PR 2007»
13 years 12 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
PR
2007
127views more  PR 2007»
13 years 12 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
PR
2007
145views more  PR 2007»
13 years 12 months ago
Face recognition using a kernel fractional-step discriminant analysis algorithm
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
Guang Dai, Dit-Yan Yeung, Yuntao Qian
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 10 hour ago
A Parallel Framework for Multilayer Perceptron for Human Face Recognition
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is th...
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita...
PR
2002
133views more  PR 2002»
14 years 2 days ago
Automatic face recognition for video indexing applications
This paper presents an e cient automatic face recognition scheme useful for video indexing applications. In particular7 the following problem is addressed: given a set of known fa...
Luis Torres, Josep Vilà