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2D Versus 3D Colour Space Face Detection

Jure Kovač and Peter Peer and Franc Solina (2003) 2D Versus 3D Colour Space Face Detection. Technical Report. (Unpublished)

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    Computer vision is one out of many areas that want to understand the process of human functionality and copy that process with intention to complement human life with intelligent machines. For better human-computer interaction it is necessary for the machine to see people. This can be achieved by employing face detection algorithms, like the one used in the installation "15 Seconds of Fame". Mentioned installation unites the areas of modern art and technology. Its algorithm is based on skin colour detection. One of the problems this and similar algorithms have to deal with is sensitivity to the illumination conditions under which the input image is captured. Hence illumination sensitivity influences face detection results. One of the aspects from which we can observe illumination influence is the choosing of the proper colour space. Since some colour spaces are designed to eliminate the influence of illumination when describing colour of an object, an idea of using such a colour space for skin-colour detection was taken under consideration and some of the methods were researched and tested.

    Item Type: Monograph (Technical Report)
    Keywords: computer vision, automatic detection, human face, face candidates search, skin-colour determination, 2D colour space, 3D colour space, illumination independence
    Language of Content: English
    Related URLs:
    URLURL Type
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=3657044)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 41
    Date Deposited: 29 Jan 2003
    Last Modified: 11 Dec 2013 09:30
    URI: http://eprints.fri.uni-lj.si/id/eprint/41

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