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Face finding solves the important task of making face recognition translation, scale and rotation independent, and can provide good initial constraints on the location of facial features. The first stage of the process is color segmentation, which simply determines if the proportion of skin tone pixels is greater than some threshold. Subsequently candidate regions are given scores based upon Fisher Linear Discriminant (FLD). This metric is originally built by comparing a large number of face and non-face patches. Candidate are also scored on Distance From Face Space (DFFS), a measure of how much they look like one of a large number of face patches used in training. All candidate regions exceeding a combined threshold are considered to be faces, after applying constraints such as no two faces may overlap.
Face Recognition System-Dubai, UAE
