A Survey on Comparison of Face Recognition Algorithms

被引：0

作者：

Ozdil, Ahmet ^{[1
]}

Ozhilen, Metin Mete ^{[2
]}

机构：

[1] Abdullah Gul Univ, Dept Comp Engn, Kayseri, Turkey

[2] Meliksah Univ, Dept Comp Engn, Kayseri, Turkey

来源：

2014 IEEE 8TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT) | 2014年

关键词：

Embedded; Face Recognition; Eigenfaces; Fisherface; LBPH;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The identification of a face from a video or image source is a study of computer vision know as face detection or recognition. Face detection and recognition becomes popular in recent years by the development of computing power. In this study we will present performance aspect of algorithms Eigenfaces, Fisherfaces, and Local Binary Pattern Histograms in different development platforms: Arm and Intel processors.

引用

页码：249 / 251

页数：3

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