热人脸识别:一种融合方法

Stepán Mrácek, J. Váňa, M. Drahanský, R. Dvořák, S. Yanushkevich
{"title":"热人脸识别:一种融合方法","authors":"Stepán Mrácek, J. Váňa, M. Drahanský, R. Dvořák, S. Yanushkevich","doi":"10.1109/EST.2012.24","DOIUrl":null,"url":null,"abstract":"One of underused biometric methods is the face recognition based on thermal images. Nevertheless, in the applications such as liveness detection or fever scan, the thermal face recognition is used as a standalone module, or as a part of a multimodal biometric system. This article presents an overview and comparison of various statistical methods for thermal facial image analysis and recognition. It also proposes an approach to fusion of some methods to improve the overall performance.","PeriodicalId":314247,"journal":{"name":"2012 Third International Conference on Emerging Security Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Thermal Face Recognition: A Fusion Approach\",\"authors\":\"Stepán Mrácek, J. Váňa, M. Drahanský, R. Dvořák, S. Yanushkevich\",\"doi\":\"10.1109/EST.2012.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of underused biometric methods is the face recognition based on thermal images. Nevertheless, in the applications such as liveness detection or fever scan, the thermal face recognition is used as a standalone module, or as a part of a multimodal biometric system. This article presents an overview and comparison of various statistical methods for thermal facial image analysis and recognition. It also proposes an approach to fusion of some methods to improve the overall performance.\",\"PeriodicalId\":314247,\"journal\":{\"name\":\"2012 Third International Conference on Emerging Security Technologies\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Emerging Security Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EST.2012.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Emerging Security Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2012.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

基于热图像的人脸识别是目前尚未得到充分利用的生物识别方法之一。然而,在活体检测或发热扫描等应用中,热人脸识别被用作独立模块,或作为多模态生物识别系统的一部分。本文对热人脸图像分析与识别的各种统计方法进行了综述和比较。提出了一种融合多种方法的方法,以提高系统的整体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Thermal Face Recognition: A Fusion Approach
One of underused biometric methods is the face recognition based on thermal images. Nevertheless, in the applications such as liveness detection or fever scan, the thermal face recognition is used as a standalone module, or as a part of a multimodal biometric system. This article presents an overview and comparison of various statistical methods for thermal facial image analysis and recognition. It also proposes an approach to fusion of some methods to improve the overall performance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MultiMind: Multi-Brain Signal Fusion to Exceed the Power of a Single Brain Weightless Neural System Employing Simple Sensor Data for Efficient Real-Time Round-Corner, Junction and Doorway Detection for Autonomous System Path Planning in Smart Robotic Assisted Healthcare Wheelchairs FPGA-Based Platform for Real-Time Internet Optimization and Sequence Search Based Localization in Wireless Sensor Networks A Knowledge Fusion Toolkit for Decision Making
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1