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Palm and finger detection using a color-depth camera

Blaž Meden (2013) Palm and finger detection using a color-depth camera. EngD thesis.

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    Natural user interaction is nowadays a very popular research field. In particular, there is a lot of effort put in accurate tracking of human hands and fingertips. Accurate data taken in real time directly from the human hand structure could improve natural interaction in many fields. For example, we could use such data, to be able to remotely guide robotic hands, use it to help surgeons in the medical field, or make better use of interactive user interfaces and improve home entertainment systems. This diploma thesis starts with a brief overview of techniques, methods and technologies used in hand tracking research field. It continues with a simple implementation of a hand tracker using OpenFrameworks, OpenNI libraries and the Kinect sensor. It concludes by evaluating the implementation through two practical applications.

    Item Type: Thesis (EngD thesis)
    Keywords: palm detection, hand tracking, finger tracking, gesture recognition, OpenFrameworks, OpenNI, NiTE, OpenCV, Kinect
    Number of Pages: 54
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Iztok Lebar Bajec269Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=10168404)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 2174
    Date Deposited: 19 Sep 2013 11:52
    Last Modified: 04 Oct 2013 08:12
    URI: http://eprints.fri.uni-lj.si/id/eprint/2174

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