A robust face detector algorithm utilizing neural networks and partial template matching

Pitoyo Hartono*, Shuji Hashimoto

*この研究の対応する著者

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Face detection from an arbitrary scene has become a very actively studied topic in the image processing and pattern recognition fields. The reason for the importance of face detection is in its broad applications, for example in human detection by means of visual input for security reason, human-machine interaction, and video archiving. Human face is composed from several components, each with large varieties and it can take many postures in arbitrary scene, which make detection task a very difficult one. In this study we propose a method for robust face detection from arbitrary scene utilizing neural network as face's posture predictor and partial template matching of human face. The proposed model is robust to the lighting conditions and postures of the frontal faces.

    本文言語English
    ホスト出版物のタイトルProceedings of SPIE - The International Society for Optical Engineering
    編集者S. Kaneko, H. Cho, G.K. Knopf, R. Tutsch
    ページ119-127
    ページ数9
    5603
    DOI
    出版ステータスPublished - 2004
    イベントMachine Vision and its Optomechatronic Applications - Philadelphia, PA, United States
    継続期間: 2004 10 262004 10 28

    Other

    OtherMachine Vision and its Optomechatronic Applications
    国/地域United States
    CityPhiladelphia, PA
    Period04/10/2604/10/28

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • 凝縮系物理学

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