Face Detection and Recognition Using Raspberry PI Computer

IF 0.7 Q3 ENGINEERING, MULTIDISCIPLINARY
Mario Dubovečak, Emil Dumić, A. Bernik
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引用次数: 0

Abstract

This paper presents a face detection and recognition system utilizing a Raspberry Pi computer that is built on a predefined framework. The theoretical section of this article shows several techniques that can be used for face detection, including Haar cascades, Histograms of Oriented Gradients, Support Vector Machine and Deep Learning Methods. The paper also provides examples of some commonly used face recognition techniques, including Fisherfaces, Eigenfaces, Histogram of Local Binary Patterns, SIFT and SURF descriptor-based methods and Deep Learning Methods. The practical aspect of this paper demonstrates use of a Raspberry Pi computer, along with supplementary tools and software, to detect and recognize faces using a pre-defined dataset.
基于树莓派计算机的人脸检测与识别
本文介绍了一种基于预定义框架的树莓派计算机人脸检测与识别系统。本文的理论部分展示了几种可用于人脸检测的技术,包括哈尔级联、定向梯度直方图、支持向量机和深度学习方法。本文还提供了一些常用的人脸识别技术的例子,包括渔民脸、特征脸、局部二值模式直方图、基于SIFT和SURF描述符的方法以及深度学习方法。本文的实践方面演示了使用树莓派计算机以及补充工具和软件,使用预定义的数据集检测和识别人脸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
TEHNICKI GLASNIK-TECHNICAL JOURNAL
TEHNICKI GLASNIK-TECHNICAL JOURNAL ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.50
自引率
8.30%
发文量
85
审稿时长
15 weeks
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