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Face recognition on mobile platforms

Goran Ferbišek (2017) Face recognition on mobile platforms. EngD thesis.

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    Abstract

    The field of face recognition is dealing mostly with security system applications. Only a small portion of these applications are made with entertainment in mind. Most of the software on the market is written for personal computers. This was our motivation to make an entertainment application for Android mobile operating system. The application use is intended for comparing persons faces to celebrities. In our case, we chose football players. The user directs the smart phone's camera towards a persons face and captures it. As a result, the application shows which face in the database, it resembles the most. We made an overview of similar applications currently available. We also described several face recognition methods. Our implementation of Principal Component Analysis was described in detail. Our method was tested on FERET database of facial images. We described the procedure of image preparation for best results possible.

    Item Type: Thesis (EngD thesis)
    Keywords: face recognition, Principal Component Analysis, Android, openCV, FERET
    Number of Pages: 36
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    viš. pred. dr. Borut Batagelj298Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537379011)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3812
    Date Deposited: 03 Mar 2017 09:02
    Last Modified: 14 Mar 2017 11:13
    URI: http://eprints.fri.uni-lj.si/id/eprint/3812

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