Pose-invariant face recognition using cylindrical model and stereo camera

Byeong Doo Ahn, Hanseok Ko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper proposes a pose-invariant face recognition method using cylindrical model and stereo camera. We divided this paper into two parts. One is single input image case and the other is stereo input image case. In single input image case, we normalized a face's yaw pose using cylindrical model, and in stereo input image case, we normalized a face's pitch pose using cylindrical model with estimated object's pitch pose by stereo geometry. Also, since we have advantage that we can utilize two images acquired at the same time, we can increase overall recognition rate by decision-level fusion. By experiment, we confirmed that recognition rate could be increased using our methods

    Original languageEnglish
    Title of host publicationProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
    EditorsS.J. Ko
    Pages34-38
    Number of pages5
    Publication statusPublished - 2004
    EventProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of
    Duration: 2004 Nov 182004 Nov 19

    Publication series

    NameProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

    Other

    OtherProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period04/11/1804/11/19

    ASJC Scopus subject areas

    • General Engineering

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