CONTENTS1. INTRODUCTION------------------------------------------------------------------21.1 FACE DETECTION--------------------------------------------------------------------------31.2 OUTLINE OF THESIS------------------------------------------------------------------------62. LITERATURE REVIEW----------------------------------------------------------82.1 KNOWLEDGE-BASED METHODS-----------------------------------------------------------92.2 FEATURE-BASED METHODS--------------------------------------------------------------112.3 TEMPLATE MATCHING--------------------------------------------------------------------122.4 APPEARANCE-BASED METHODS---------------------------------------------------------132.4.1 Distribution-Based Methods----------------------------------------------------------------142.4.2 Neural Networks-------------------------------------------------------------------------------162.4.3 Support Vector Machines--------------------------------------------------------------------172.5 Discussion-----------------------------------------------------------------------------------------173. FACE DETECTION USING GABOR FEATURES AND BAYES CLASSIFIER--------------------------------------------------------------------------193.1 GABOR FILTER-BASED FEATURE EXTRACTION-------------------------------------------203.1.1 Gabor filter design-----------------------------------------------------------------------------213.1.2 Gabor feature extraction---------------------------------------------------------------------233.2 CLASSIFICATION METHOD----------------------------------------------------------------253.2.1 Bayes Decision----------------------------------------------------------------------------------263.2.2 Modeling the PDFs of the face and nonface classes------------------------------------273.2.3 Classifier-----------------------------------------------------------------------------------------284. EX...
