A hidden markov model-based approach for face detection and recognition
Ara Nefian, Monson H. Hayes III · UPT. Syiah Kuala University Library (Syiah Kuala University) · 1999
Contents 1 Introduction 1 2 Related Work 4 2.1 Correlation Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Karhunen-Loeve Expansion - Based Methods . . . . . . . . . . . . . . . . . 5 2.2.1 Recognition Using Eigenfaces . . . . . . . . . . . . . . . . . . . . . . 5 2.2.2 The "Parametric" Approach versus the "View-Based" Approach . . 6 2.2.3 Recognition Using Eigenfeatures . . . . . . . . . . . . . . . . . . . . 6 2.3 Linear Discriminant Methods - Fisherfaces . . . . . . . . . . . . . . . . . . . 7 2.4 Singular Value Decomposition Methods . . . . . . . . . . . . . . . . . . . . 7 2.5 Hidden Markov Model Based Methods . . . . . . . . . . . . . . . . . . . . . 8 2.6 Summary of the Related Work . . . . . . . . . . . . . . . . . . . . . . . . . 11 3 The Proposed Approach 13 3.1 A rule based approach for head detection . . . . . . . . . . . . . . . . . . . 13 3.2 Human Face Modeling using Hidden Markov Models . . . . . . . . . . . .