LOCALIZATION OF FACIAL FEATURES AND FIDUCIAL POINTS

In this paper we present an algorithm for the automatic detection and description of facial features in 2D color images of either frontal or rotated human faces. The algorithm first identifies the sub-images containing each feature, afterwards, it processes them separately to extract the characteristic fiducial points. The features are looked for in down-sampled images, the fiducial points are identified in the high resolution ones. The method uses both color and shape information and does not require any manual setting or operator intervention.

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