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    A fast feature extraction method

    Pan, J. and Pang, Y. and Li, Xuelong and Yuan, Y. and Tao, D. (2009) A fast feature extraction method. In: UNSPECIFIED (ed.) Acoustics, Speech and Signal Processing. New York, USA: Institute of Electrical and Electronics Engineers, pp. 1797-1800. ISBN 9781424423538.

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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.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 11 Jul 2013 10:41
    Last Modified: 11 Oct 2016 15:27
    URI: http://eprints.bbk.ac.uk/id/eprint/7639

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