A landmark paper in face recognition

G.M. Beumer, Q. Tao, A.M. Bazen, Raymond N.J. Veldhuis

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

    31 Citations (Scopus)
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    Good registration (alignment to a reference) is essential for accurate face recognition. The effects of the number of landmarks on the mean localization error and the recognition performance are studied. Two landmarking methods are explored and compared for that purpose: (1) the most likely-landmark locator (MLLL), based on maximizing the likelihood ratio, and (2) Viola-Jones detection. Both use the locations of facial features (eyes, nose, mouth, etc) as landmarks. Further, a landmark-correction method (BILBO) based on projection into a subspace is introduced. The MLLL has been trained for locating 17 landmarks and the Viola-Jones method for 5. The mean localization errors and effects on the verification performance have been measured. It was found that on the eyes, the Viola-Jones detector is about 1% of the interocular distance more accurate than the MLLL-BILBO combination. On the nose and mouth, the MLLL-BILBO combination is about 0.5% of the inter-ocular distance more accurate than the Viola-Jones detector. Using more landmarks will result in lower equal-error rates, even when the landmarking is not so accurate. If the same landmarks are used, the most accurate landmarking method gives the best verification performance.
    Original languageUndefined
    Title of host publicationAutomatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society Press
    Number of pages6
    ISBN (Print)0-7695-2503-2
    Publication statusPublished - Apr 2006
    Event7th International Conference on Automatic Face and Gesture Recognition, FG 2006 - Southhamton, United Kingdom
    Duration: 10 Apr 200612 Apr 2006
    Conference number: 7

    Publication series

    PublisherIEEE Computer Society Press


    Conference7th International Conference on Automatic Face and Gesture Recognition, FG 2006
    Abbreviated titleFG
    CountryUnited Kingdom
    Internet address


    • EWI-7497
    • IR-66498
    • METIS-238212
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