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Detection and Recognition of Dominant Face Features

By Hynek Švábek


This thesis deals with the increasingly developing field of biometric systems which is the identification of faces. The thesis deals with the possibilities of face localization in pictures and their normalization, which is necessary due to external influences and the influence of different scanning techniques. It describes various techniques of localization of dominant features of the face such as eyes, mouth or nose. Not least, it describes different approaches to the identification of faces. Furthermore a it deals with an implementation of the Dominant Face Features Recognition application, which demonstrates chosen methods for localization of the dominant features (Hough Transform for Circles, localization of mouth using the location of the eyes) and for identification of a face (Linear Discriminant Analysis, Kernel Discriminant Analysis). The last part of the thesis contains a summary of achieved results and a discussion

Topics: face recognition; Linear Discriminant Analysis; Kernel Discriminant Analysis.; jádrová diskriminační analýza (KDA).; rozpoznání obličeje; Dominant face features; Dominantní rysy obličeje; lineární diskriminační analýza (LDA); Principal Component Analysis; analýza hlavních komponent (PCA)
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2010
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