Real-time face recognition using eigenfaces
نویسندگان
چکیده
منابع مشابه
A near Real-time Face Recognition System Based on Eigenfaces
In this paper we propose a prototype of a near real-time automatic face recognition system that is aimed for operations in a less constrained environment, using the earliest appearance-based face recognition technique called eigenfaces. The main idea of eigenfaces is to decompose face images into a small set of significant characteristic feature images called eigenvectors, which are the princip...
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This paper is based on a combination of the principal component analysis (PCA), eigenface and support vector machines. Using N-fold method and with respect to the value of N, any person’s face images are divided into two sections. As a result, vectors of training features and test features are obtain ed. Classification precision and accuracy was examined with three different types of kernel and...
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Face recognition is an active area of research since 1980s. It is one of the most successful and important applications of image analysis and processing. Eigenface approach is one of the earliest appearance-based face recognition methods, which was developed by M. Turk and A. Pentland in 1991 [1]. This method utilizes the idea of the Principal Component Analysis (PCA) which decomposes a face im...
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We present an approach t o the detection and identification of human faces and describe a working, near-real-time face recognition system which tracks a subject’s head and then recognizes the person by comparing characteristics of the face to those of known individuals. Our approach treats face recognition as a two-dimensional recognition problem, taking advantage of the fact that faces are are...
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تاریخ انتشار 2000