We describe an algorithm for automatic features detection in 2D color images of human faces. The algorithm proceeds with subsequent refinements. First, it identifies the sub-images containing each feature (eyes, nose and lips). Afterwards, it processes the single features separately by a blend of techniques which use both color and shape information. The method does not require any manual setting or operator intervention.


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    Title :

    Automatic features detection for overlapping face images on their 3D range models


    Contributors:


    Publication date :

    2001-01-01


    Size :

    984370 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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