Automatic face alignment by maximizing similarity score

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    Abstract

    Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment by maximizing the score of a face recognition algorithm. In this paper we investigate the practical usability of our face registration method. Experiments show that our registration method achieves better results in face verification than the landmark based registration method. We even obtain face verification results which are similar to results obtained using landmark based registration with manually located eyes, nose and mouth as landmarks. The performance of the method is tested on the FRGCv1 database using images taken under both controlled and uncontrolled conditions.
    Original languageEnglish
    Title of host publicationProceedings of the 7th International Workshop on Pattern Recognition in Information Systems
    EditorsA. Fred, A.K. Jain
    PublisherINSTICC PRESS
    Pages221-230
    Number of pages10
    ISBN (Print)978-972-8865-93-1
    DOIs
    Publication statusPublished - 12 Jun 2007

    Keywords

    • SCS-Safety
    • Face recognition
    • face registration
    • Alignment
    • Similarity score

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  • Cite this

    Boom, B., Spreeuwers, L., & Veldhuis, R. (2007). Automatic face alignment by maximizing similarity score. In A. Fred, & A. K. Jain (Eds.), Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems (pp. 221-230). INSTICC PRESS. https://doi.org/10.5220/0002427602210230