منابع مشابه
Towards Face Recognition Using Eigenface
This paper presents a face recognition system employing eigenface-based approach. The principal objective of this research is to extract feature vectors from images and to reduce the dimension of information. The method is implemented on frontal view facial images of persons to explore a twodimensional representation of facial images. The system is organized with RMS (Root Mean Square) contrast...
متن کاملFace Recognition Using Eigenface Approach*
In this article, a face recognition system using the Principal Component Analysis (PCA) algorithm was implemented. The algorithm is based on an eigenfaces approach which represents a PCA method in which a small set of significant features are used to describe the variation between face images. Experimental results for different numbers of eigenfaces are shown to verify the viability of the prop...
متن کاملFace Recognition: Robustness of the ‘Eigenface’ Approach
While face recognition is a fairly trivial task for humans, much of computer vision research has been dedicated to finding an algorithm to teach a computer how to recognize faces. This paper discusses the robustness of the Turk and Pentland ‘Eigenface’ algorithm [1]. The algorithm consists of two stages, the learning stage, which is done offline, and the recognition stage, which is done online....
متن کاملEigenface-domain super-resolution for face recognition
Face images that are captured by surveillance cameras usually have a very low resolution, which significantly limits the performance of face recognition systems. In the past, super-resolution techniques have been proposed to increase the resolution by combining information from multiple images. These techniques use super-resolution as a preprocessing step to obtain a high-resolution image that ...
متن کاملFace Recognition by Eigenface and Elastic Bunch
The technology of face recognition has become mature within these few years. System, using the face recognition, has become true in real life. In this paper, we will have a comparative study of two most recently proposed methods for face recognition. One of the approach is eigenface and other one is the elastic bunch graph matching. After the implementation of the above two methods, we learn th...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2016
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2016.070505