eigenfaces_msc_thesis - ii ISTANBUL TECHNICAL UNIVERSITY...

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Unformatted text preview: ii ISTANBUL TECHNICAL UNIVERSITY INSTITUTE OF SCIENCE AND TECHNOLOGY FACE RECOGNITION USING EIGENFACES M. Sc. THESIS January, 1996 ILKER ATALAY Computer Engineer B.Sc. Date of Submission : 15 January 1996 Date of Approval : 31 January 1996 Examination Committee Supervisor : Associate Prof. Dr. Muhittin Gokmen Member : Prof. Dr. Erdal Panayirci Member : Associate Prof. Dr. Bulent Orencik iii Acknowledgments First of all, I would like to thank my advisor, Ass. Prof. Muhittin Gokmen, who has been very helpful through out the years, starting with his image processing and computer vision lectures, and ending up in the preparation of this thesis. A great deal of thanks goes to my family, for their endless support and encouragement, even during the most demanding phases of this research. And finally, I would like to thank YKB Technology., where I have done the beta tests of the proposed face recognition system, together with the preparation of this manuscript. ILKER ATALAY Istanbul, January 1996 iv Table of Contents Acknowledgments List of Figures List of Tables Abstract Özet (Abstract in Turkish) Chapter 1. Introduction 1.1 Eigenfaces for recognition..................................................................... 1.2 Thesis organization............................................................................... Chapter 2. Basic Concepts of Pattern and Face Recognition ..................... 2.1 Basic Concepts of Pattern Recognition.................................................. 2.1.1 Overview...................................................................................... 2.1.2 Pattern Classes and Patterns....................................................... 2.1.3 Fundamental Problems in Pattern Recognition System Design.... 2.1.4 Training and Learning................................................................... 2.1.5 Supervised and Unsupervised Pattern Recognition...................... 2.1.6 Outline of a Typical Pattern Recognition System......................... 2.2 Face Recognition.................................................................................. 2.2.1 Background and Related Work.................................................... 2.2.2 Outline of a Typical Face Recognition System............................ 2.2.3 Problems that May Occur During Face Recognition.................... 2.2.4 Feature Based Face Recognition................................................ v 2.2.4.1 Introduction........................................................................ 2.2.4.2 Effective Feature Selection................................................ 2.2.4.3 Feature Selection Using the Deformable Templates.............
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eigenfaces_msc_thesis - ii ISTANBUL TECHNICAL UNIVERSITY...

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