The effect of image resolution on the performance of a face recognition system

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    Abstract

    In this paper we investigate the effect of image resolution on the error rates of a face verification system. We do not restrict ourselves to the face recognition algorithm only, but we also consider the face registration. In our face recognition system, the face registration is done by finding landmarks in a face image and subsequent alignment based on these landmarks. To investigate the effect of image resolution we performed experiments where we varied the resolution. We investigate the effect of the resolution on the face recognition part, the registration part and the entire system. This research also confirms that accurate registration is of vital importance to the performance of the face recognition algorithm. The results of our face recognition system are optimal on face images with a resolution of 32 × 32 pixels.
    Original languageUndefined
    Title of host publicationProceedings of the Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages409-414
    Number of pages6
    ISBN (Print)1-4244-0342-1
    DOIs
    Publication statusPublished - 5 Dec 2006
    Event9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006 - Grand Hyatt Singapore, Singapore, Singapore
    Duration: 5 Dec 20068 Dec 2006
    Conference number: 9

    Publication series

    Name
    PublisherIEEE
    Numbersuppl 2

    Conference

    Conference9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006
    Abbreviated titleICARCV
    CountrySingapore
    CitySingapore
    Period5/12/068/12/06

    Keywords

    • EWI-8571
    • IR-58158
    • METIS-237791
    • SCS-Safety

    Cite this

    Boom, B. J., Beumer, G. M., Spreeuwers, L. J., & Veldhuis, R. N. J. (2006). The effect of image resolution on the performance of a face recognition system. In Proceedings of the Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 409-414). USA: IEEE Computer Society. https://doi.org/10.1109/ICARCV.2006.345480