Applied Pattern Recognition pp Cite as. Faces are among the most important classes of objects computers have to deal with. Consequently, automatic processing and recognition of facial images have attracted considerable attention in the last decades. In this chapter we focus on a strict view of facial image processing, i. A brief overview of facial image processing techniques is presented.
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Facial recognition can log you into your iPhone, track criminals through crowds and identify loyal customers in stores. The technology — which is imperfect but improving rapidly — is based on algorithms that learn how to recognize human faces and the hundreds of ways in which each one is unique. To do this well, the algorithms must be fed hundreds of thousands of images of a diverse array of faces. IBM promoted the collection to researchers as a progressive step toward reducing bias in facial recognition.
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