新时代背景下基于深度学习的人脸识别技术开发探究
Research and Development of Face Recognition Technology Based on Deep Learning in the New Era
唐荣辉1
作者信息
- 1. 贵州应用技术职业学院,贵州福泉 550500
- 折叠
摘要
人脸识别技术的出现具有划时代的意义,该技术凭借强大的技术支持被广泛应用于监控、安防、支付等领域.传统人脸识别具有卡顿和识别准确率低等问题,基于深度学习的人脸识别技术能够很好地解决这些问题,优化识别流程,提升识别效率.文章首先对深度学习、卷积神经网络及人脸识别进行概述,然后对人脸识别的数据预处理进行分析,包括人脸检测、人脸关键点监测和人脸归一化,最后对基于深度学习网络的人脸识别进行研究.
Abstract
The appearance of face recognition technology has epoch-making significance,this technology with strong technical support is widely used in monitoring,security,payment and other fields.Traditional face recognition has many problems,such as Cottonwood and low recognition accuracy.The face recognition technology based on deep learning can solve these problems,optimize the recognition process and improve the recognition efficiency.This paper first gives an overview of deep learning,convolutional neural network and face recognition,and then analyzes the Data pre-processing of face recognition,including face detection,key point detection and face normalization,finally,face recognition based on deep learning network is studied.
关键词
深度学习/人脸识别/技术开发Key words
deep learning/face recognition/technology development引用本文复制引用
出版年
2024
NETL
NSTL
万方数据