Improving Face Detection with TOE Cameras

Dan Witzner Hansen, Rasmus Larsen, F Lauze

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    Abstract

    A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation.
    Original languageEnglish
    Title of host publicationInternational Symposium on Signals, Circuits and Systems, 2007. ISSCS 2007.
    PublisherIEEE
    Publication date2007
    Pages1-4
    ISBN (Print)1-4244-0969-1
    DOIs
    Publication statusPublished - 2007
    Event2007 International Symposium on Signals Circuits and Systems - Iasi, Romania
    Duration: 12 Jul 200713 Jul 2007
    http://scs.etc.tuiasi.ro/isscs2007/

    Conference

    Conference2007 International Symposium on Signals Circuits and Systems
    CountryRomania
    CityIasi
    Period12/07/200713/07/2007
    Internet address

    Bibliographical note

    Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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