Automatic face alignment by maximizing similarity score

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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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

    Fingerprint

    Face recognition
    Experiments

    Keywords

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

    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
    Boom, Bas ; Spreeuwers, Luuk ; Veldhuis, Raymond. / Automatic face alignment by maximizing similarity score. Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems. editor / A. Fred ; A.K. Jain. INSTICC PRESS, 2007. pp. 221-230
    @inproceedings{bd621476d6c44b6fa5fea5316450d1cc,
    title = "Automatic face alignment by maximizing similarity score",
    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.",
    keywords = "SCS-Safety, Face recognition, face registration, Alignment, Similarity score",
    author = "Bas Boom and Luuk Spreeuwers and Raymond Veldhuis",
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    Boom, B, Spreeuwers, L & Veldhuis, R 2007, Automatic face alignment by maximizing similarity score. in A Fred & AK Jain (eds), Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems. INSTICC PRESS, pp. 221-230. https://doi.org/10.5220/0002427602210230

    Automatic face alignment by maximizing similarity score. / Boom, Bas; Spreeuwers, Luuk; Veldhuis, Raymond.

    Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems. ed. / A. Fred; A.K. Jain. INSTICC PRESS, 2007. p. 221-230.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    AB - 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.

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