Short Communication: Face recognition using message passing based clustering method

Authors:
Chunhua Du;Jie Yang;Qiang Wu;Tianhao Zhang
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, PR China and Department of Computer Systems, University of Technology, Sydney, P.O. Box 123, ...;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, PR China;Department of Computer Systems, University of Technology, Sydney, P.O. Box 123, Broadway, 2007 Sydney, NSW, Australia;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, PR China
Venue:
Journal of Visual Communication and Image Representation
Year:
2009

Citing 13
Cited 0

Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression Database

IEEE Transactions on Pattern Analysis and Machine Intelligence
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring Linear Subspaces for Face Recognition under Variable Lighting

IEEE Transactions on Pattern Analysis and Machine Intelligence
Effective Representation Using ICA for Face Recognition Robust to Local Distortion and Partial Occlusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using IPCA-ICA Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence
Rapid and brief communication: Two-dimensional discriminant transform for face recognition

Pattern Recognition
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing
Face recognition by independent component analysis

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Traditional subspace analysis methods are inefficient and tend to be affected by noise as they compare the test image to all training images, especifically when there are large numbers of training images. To solve such problem, we propose a fast face recognition (FR) technique called APLDA by combining a novel clustering method affinity propagation (AP) with linear discriminant analysis (LDA). By using AP on the reduced features derived from LDA, a representative face image for each subject can be reached. Thus, our APLDA uses only the representative images rather than all training images for identification. Obviously, APLDA is much more computationally efficient than Fisherface. Also, unlike Fisherface who uses pattern classifier for identification, APLDA performs the identification using AP once again to cluster the test image into one of the representative images. Experimental results also indicate that APLDA outperforms Fisherface in terms of recognition rate.