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Automatic face and facial feature detection

By Martin Krolikowski

Abstract

The master thesis presents an overview of face detection task in color, static images. Face detection term is posed in the context of various branches. Main concepts of face detection and also their relationships are described. Individual approaches are divided into groups and then define in turn. In the thesis is in detail described algorithm AdaBoost, which is selected on the basis of its properties. Especially speed of computation and good detection results are key features. In the scope of this work Viola-Jones detector was implemented. This detector was trained with face pictures from public accessible database. Combination of Viola-Jones detector with simple color detector is described. In the thesis is also presented experiment approach to facial features detection

Topics: face color detector; detektor barvy kůže; classification; Face detection; strojové učení; algoritmus AdaBoost; Viola-Jones detector; machine learning; Detekce obličeje; klasifikace; AdaBoost algorithm; Viola-Jones detektor
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2008
OAI identifier: oai:invenio.nusl.cz:217286
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