基于三维变形模型的人脸识别

V. Blanz
{"title":"基于三维变形模型的人脸识别","authors":"V. Blanz","doi":"10.1109/FGR.2006.42","DOIUrl":null,"url":null,"abstract":"This paper summarizes the main concepts of morphable models of 3D faces, and describes two algorithms for 3D surface reconstruction and face recognition. The first algorithm is based on an analysis-by-synthesis technique that estimates shape and pose by fully reproducing the appearance of the face in the image. The second algorithm is based on a set of feature point locations, producing high-resolution shape estimates in computation times of 0.25 seconds. A variety of different application paradigms for model-based face recognition are discussed","PeriodicalId":109260,"journal":{"name":"7th International Conference on Automatic Face and Gesture Recognition (FGR06)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"75","resultStr":"{\"title\":\"Face recognition based on a 3D morphable model\",\"authors\":\"V. Blanz\",\"doi\":\"10.1109/FGR.2006.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper summarizes the main concepts of morphable models of 3D faces, and describes two algorithms for 3D surface reconstruction and face recognition. The first algorithm is based on an analysis-by-synthesis technique that estimates shape and pose by fully reproducing the appearance of the face in the image. The second algorithm is based on a set of feature point locations, producing high-resolution shape estimates in computation times of 0.25 seconds. A variety of different application paradigms for model-based face recognition are discussed\",\"PeriodicalId\":109260,\"journal\":{\"name\":\"7th International Conference on Automatic Face and Gesture Recognition (FGR06)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"75\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Conference on Automatic Face and Gesture Recognition (FGR06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FGR.2006.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Conference on Automatic Face and Gesture Recognition (FGR06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGR.2006.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 75

摘要

本文综述了三维人脸变形模型的主要概念,介绍了三维人脸重构和人脸识别的两种算法。第一种算法基于合成分析技术,通过完全再现图像中的面部外观来估计形状和姿势。第二种算法基于一组特征点位置,在0.25秒的计算时间内产生高分辨率的形状估计。讨论了基于模型的人脸识别的各种不同的应用范例
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
Face recognition based on a 3D morphable model
This paper summarizes the main concepts of morphable models of 3D faces, and describes two algorithms for 3D surface reconstruction and face recognition. The first algorithm is based on an analysis-by-synthesis technique that estimates shape and pose by fully reproducing the appearance of the face in the image. The second algorithm is based on a set of feature point locations, producing high-resolution shape estimates in computation times of 0.25 seconds. A variety of different application paradigms for model-based face recognition are discussed
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
Tracking using dynamic programming for appearance-based sign language recognition Multi-view face recognition by nonlinear dimensionality reduction and generalized linear models Face recognition by projection-based 3D normalization and shading subspace orthogonalization Hierarchical ensemble of Gabor Fisher classifier for face recognition Reliable and fast tracking of faces under varying pose
×
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