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ICASSP
2009
IEEE

A fast feature extraction method

10 years 1 months ago
A fast feature extraction method
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.
Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dach
Added 17 Aug 2010
Updated 17 Aug 2010
Type Conference
Year 2009
Where ICASSP
Authors Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dacheng Tao
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