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Face recognition methods under uncontrolled conditions of image capture

Dušan Kalanj (2016) Face recognition methods under uncontrolled conditions of image capture. MSc thesis.

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    In the scope of this master thesis we investigated the problem of face recognition in unconstrained environments, where a system has to be robust against varying face pose, expression and illumination as well as low resolution, ageing of subjects and infrared capturing mode. The work contains a survey of the field and a detailed description of the methodology used in the making of the face recognition system prototype that was developed in the process. While focusing on feature extraction, we also examined different solutions in the stages of normalization, dimensionality reduction and classication. The work concludes with an analysis of the results achieved during testing, which was performed on the FERET, SCface and ChokePoint datasets. On the first two of the three mentioned datasets we also examined the effect of frontalization. To the best of our knowledge, we achieved the best results in literature on SCface and ChokePoint datasets.

    Item Type: Thesis (MSc thesis)
    Keywords: Face recognition, uncontrolled conditions, feature extraction, normalization, dimensionality reduction, FERET, SCface, ChokePoint
    Number of Pages: 89
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Franc Solina71Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537279683)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3642
    Date Deposited: 10 Oct 2016 14:57
    Last Modified: 15 Nov 2016 09:51
    URI: http://eprints.fri.uni-lj.si/id/eprint/3642

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