Personal identification by multiresolution analysis of lifting dyadic wavelets

Shigeru Takan, Koichi Niijima, Koichi Kuzume

    研究成果: 著書/レポートタイプへの貢献会議での発言

    1 引用 (Scopus)

    抜粋

    This paper proposes a novel method for identifying persons by multiresolution analysis of lifting dyadic wavelets. Our method consists of three procedures: face learning, detection and identification. In the learning procedure, new highpass filters for capturing facial parts are constructed by tuning free parameters in the lifting scheme. By using the learned filters, human faces can be detected from each of video frames. A person whose face is detected in a maximum number of frames is identified as a target person. Experimental results show that our personal identification algorithm is fast and accurate.

    元の言語英語
    ホスト出版物のタイトル2004 12th European Signal Processing Conference, EUSIPCO 2004
    出版者European Signal Processing Conference, EUSIPCO
    ページ2283-2286
    ページ数4
    ISBN(電子版)9783200001657
    出版物ステータス出版済み - 4 3 2015
    イベント12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, オーストリア
    継続期間: 9 6 20049 10 2004

    出版物シリーズ

    名前European Signal Processing Conference
    06-10-September-2004
    ISSN(印刷物)2219-5491

    その他

    その他12th European Signal Processing Conference, EUSIPCO 2004
    オーストリア
    Vienna
    期間9/6/049/10/04

      フィンガープリント

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering

    これを引用

    Takan, S., Niijima, K., & Kuzume, K. (2015). Personal identification by multiresolution analysis of lifting dyadic wavelets. : 2004 12th European Signal Processing Conference, EUSIPCO 2004 (pp. 2283-2286). [7079938] (European Signal Processing Conference; 巻数 06-10-September-2004). European Signal Processing Conference, EUSIPCO.