人脸识别技术综述

Ramesh Sithara, R. Rajasree
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引用次数: 0

摘要

人脸识别在计算机视觉、通信和自动控制系统中有着广泛的应用,引起了人们的广泛关注。人脸识别框架执行人脸验证或人脸识别。人脸检测是人脸识别的第一步,也是最基本的一步,其本质是判断图像中是否存在人脸。尽管如此,自动人脸发现在图像和视频处理中是一个令人难以置信的问题。人脸特征预测是人脸分析的另一项重要任务,是人脸识别的重要步骤。这两项任务都具有挑战性,因为人脸的大小、形状、颜色不同,背景杂乱,人脸方向不同,不同图像中的特征波动较大等。本文的主要目的是概述一些流行的人脸识别方法和技术,并对它们进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on Face Recognition Technique
Face recognition has attracted tremendous notice since it has numerous applications in computer vision, communication and automatic control systems. Face recognition frameworks either perform face verification or face identification. Face Detection is the first and most fundamental step in face recognition, and its essential point is to decide if there is a face in an image or not. Be that as it may, automatic face discovery is a mind boggling issue in image and video processing. Anticipating facial features is another major task in facial analysis and is an important step in face identification. Both these tasks are challenging because faces differ in size, shape, color, due to messy background, different face orientation and large fluctuations of the features in different images etc. The main objective of this paper is to provide an overview of some of the popular face recognition approaches and techniques and to compare them.
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