—Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric... more —Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric modality that has attracted huge interest in the automatic processing of digital images and videos in many applications, including biometric identification, video-surveillance, human-computer interaction and multimedia data management. Face recognition usually involves three key processes in its treatment: face detection, feature extraction and classification. In this article, we focus on the study and synthesis of the classification methods most widely used in face recognition, namely: metric distances, neural networks and Supports Vectors Machines (SVM).
—Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric... more —Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric modality that has attracted huge interest in the automatic processing of digital images and videos in many applications, including biometric identification, video-surveillance, human-computer interaction and multimedia data management. Face recognition usually involves three key processes in its treatment: face detection, feature extraction and classification. In this article, we focus on the study and synthesis of the classification methods most widely used in face recognition, namely: metric distances, neural networks and Supports Vectors Machines (SVM).
—Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric... more —Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric modality that has attracted huge interest in the automatic processing of digital images and videos in many applications, including biometric identification, video-surveillance, human-computer interaction and multimedia data management. Face recognition usually involves three key processes in its treatment: face detection, feature extraction and classification. In this article, we focus on the study and synthesis of the classification methods most widely used in face recognition, namely: metric distances, neural networks and Supports Vectors Machines (SVM).
—Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric... more —Face recognition is a very active domain in computer vision and in Biometrics. It is a biometric modality that has attracted huge interest in the automatic processing of digital images and videos in many applications, including biometric identification, video-surveillance, human-computer interaction and multimedia data management. Face recognition usually involves three key processes in its treatment: face detection, feature extraction and classification. In this article, we focus on the study and synthesis of the classification methods most widely used in face recognition, namely: metric distances, neural networks and Supports Vectors Machines (SVM).
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