Design of Three-dimensional Face Recognition System Using Optimized PRBFNNs and PCA : Comparative Analysis of Evolutionary Algorithms
نویسندگان
چکیده
منابع مشابه
Face Recognition using Eigenfaces , PCA and Supprot Vector Machines
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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With the development of computer vision and computer graphics, face recognition technology has gradually developed from 2D to 3D. Using in-depth information of faces, 3D face recognition solves and overcomes the environment and changes in the expression that 2D face recognition encounters. In this paper, the principles of laser triangulation measurement applied in 3D detection and modeling of f...
متن کاملComparative Analysis of PCA and 2DPCA in Face Recognition
The growing need for effective biometric identification is widely acknowledged. Human face recognition is an important area in the field of biometrics. It has been an active area of research for several decades, but still remains a challenging problem because of the complexity of the human face. The Principal Component Analysis (PCA), or the eigenfaces method, is a de-facto standard in human fa...
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the speech act of disagreement has been one of the speech acts that has received the least attention in the field of pragmatics. this study investigates the ways power relations, social distance, formality of the context, gender, and language proficiency (for efl learners) influence disagreement and politeness strategies. the participants of the study were 200 male and female native persian s...
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2013
ISSN: 1976-9172
DOI: 10.5391/jkiis.2013.23.6.539