Learning-based image representation and method for face recognition

Authors:
Zhiming Liu;Chengjun Liu;Qingchuan Tao
Affiliations:
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ;Department of Computer Science, New Jersey Institute of Technology, Newark, NJ;School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China
Venue:
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Year:
2009

Citing 13
Cited 0

Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Combining Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Overview of the Face Recognition Grand Challenge

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Color Face Recognition by Hypercomplex Gabor Analysis

FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A Component-based Framework for Face Detection and Identification

International Journal of Computer Vision
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Component-based LDA face description for image retrieval and MPEG-7 standardisation

Image and Vision Computing
Score normalization in multimodal biometric systems

Pattern Recognition
Color Image Discriminant Models and Algorithms for Face Recognition

IEEE Transactions on Neural Networks
Color face tensor factorization and slicing for illumination-robust recognition

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
SVM-based selection of colour space experts for face authentication

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel method for face recognition. First, we generate the new image representation from the decorrelated hybrid color configurations rather than RGB color space via a learning algorithm. The learning algorithm, Principal Component Analysis (PCA) plus Fisher Linear Discriminant analysis (FLD), is able to derive the desired color transformation to generate a discriminating image representation that is optimal for face recognition. Second, we partition face image into some small patches, each of which can obtain its own color transformation, to reduce the effect of illumination variations. Thus, a patch-based novel image representation method is proposed for face recognition. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 show that the proposed method outperforms gray-scale image and some recent methods in face recognition.