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Study On Some Key Issuses In Face Recognition

Posted on:2005-11-02Degree:DoctorType:Dissertation
Country:ChinaCandidate:S G ShanFull Text:PDF
GTID:1118360185995676Subject:Computer applications
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Automatic Face Recognition (AFR) aims at endowing computers with the ability to identify different human beings according to his/her face image. Such a research has both significant theoretic values and wide potential applications. As a scientific issue, AFR is a typical pattern analysis, understanding and classification problem, closely related to many disciplines such as Pattern Recognition, Computer Vision, Intelligent Human-Computer Interaction, Computer Graphics, and Cognitive Psychology etc. Its research achievements would greatly contribute to the development of these disciplines. While as one of the key technologies in Biometrics, AFR techniques are believed having a great deal of potential applications in public security, law enforcement, information security, and financial security.After more than 30 years'development, AFR has made great progress especially in the past ten years. The state-of-the-art AFR system can perform identification successfully under well-controlled environment. However, evaluation results and practical experience have shown that AFR technologies are currently far from mature. A great number of challenges are to be solved before one can implement a robust practical AFR application. The following key issues are especially pivotal: (1) the accurate facial feature location problem, which is the prerequisite for sequent feature exaction and classification; (2) efficient face representation and corresponding classifier with high accuracy; (3) how to improve the robustness of AFR to inevitable mis-alignment of the facial feature. In addition, elaborate system design is also as important for developing robust and practical AFR systems. In this thesis, the above-mentioned key issues are studied, aiming at robust and practical AFR systems. And the main contribution of this thesis includes:1. Provided a thorough survey of the AFR history and the state-of-the-artThe latest AFR survey was published in the year 2000, which in fact surveyed the AFR researches before 1999. This thesis has provided a more recent overview of the AFR research and development. The survey starts from the discussion of the general computational model of AFR methods. Then, the AFR researches are partitioned to three historical stages according to the characteristics of technical mainstreams. For each stage, its technical characteristics are summarized and typical milestone methods are mentioned. After that, AFR methods are further categorized according to facial feature extraction, face representation, and classification separately. We also survey the main public face databases and performance evaluations protocols, based on which the state-of-the-arts of AFR are summarized. Main commercial systems are introduced as well with their technical sources. Finally, the challenges and technical trends in AFR fields are discussed.2. Studied facial feature alignment problem, and proposed a Local Texture Constraint Active Appearance Model.Accurate facial feature alignment is the prerequisite of an AFR system. Active Shape Model (ASM) and Active Appearance Model (AAM) are the main methods for this problem.
Keywords/Search Tags:Automatic face recognition (AFR), Biometrics, face alignment, Active Shape Models, Active Appearance Models, Gabor wavelet, Principal Component Analysis (PCA), Eigenface, Linear Discriminant Analysis, Fisherface, AdaBoost, Re-sampling technologies
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