A fast feature extraction method

Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dacheng Tao

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
1797-1800
页数4
DOI
出版状态已出版 - 2009
已对外发布
活动2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, 中国台湾
期限: 19 4月 200924 4月 2009

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷版)1520-6149

会议

会议2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
国家/地区中国台湾
Taipei
时期19/04/0924/04/09

指纹

探究 'A fast feature extraction method' 的科研主题。它们共同构成独一无二的指纹。

引用此