A fast feature extraction method

Authors:
Jing Pan;Yanwei Pang;Xuelong Li;Yuan Yuan;Dacheng Tao
Affiliations:
Electronic Engineering Department, Tianjin University of Technology and Education, China;School of Electronic Information Engineering, Tianjin University, 300072, China;Birkbeck College, University of London, UK;School of Electronic Information Engineering, Aston University, UK;School of Computer Engineering, Nanyang Technology University, Singapore 639798
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary subspace learning, Haar-like functions have been frequently used but true Haar functions are seldom employed. In this paper we have shown that true Haar functions can be successfully used to accelerate subspace analysis and feature extraction. Both the training and testing speed of the proposed method is higher than conventional algorithms. Experimental results on face database demonstrated its effectiveness.