Likelihood Ratio-Based Detection of Facial Features

A.M. Bazen, Raymond N.J. Veldhuis, Gerrie H. Croonen

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    One of the first steps in face recognition, after image acquisition, is registration. A simple but effective technique of registration is to align facial features, such as eyes, nose and mouth, as well as possible to a standard face. This requires an accurate automatic estimate of the locations of those features. This contribution proposes a method for estimating the locations of facial features based on likelihood ratio-based detection. A post-processing step that evaluates the topology of the facial features is added to reduce the number of false detections. Although the individual detectors only have a reasonable performance (equal error rates range from 3.3% for the eyes to 1.0% for the nose), the positions of the facial features are estimated correctly in 95% of the face images.
    Original languageUndefined
    Title of host publication14th Annual Workshop on Circuits Systems and Signal Processing (ProRISC)
    Place of PublicationUtrecht, The Netherlands
    Number of pages7
    ISBN (Print)90-73461-39-1
    Publication statusPublished - Nov 2003
    Event14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003 - Veldhoven, Netherlands
    Duration: 25 Nov 200327 Nov 2003
    Conference number: 14


    Workshop14th ProRISC Workshop on Circuits, Systems and Signal Processing 2003
    Abbreviated titleProRISC


    • EWI-813
    • SCS-Safety
    • METIS-215836
    • IR-46702
    • Likelihood Ratio
    • Face Recognition
    • Registration
    • facial feature detection

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