{"title":"Real-time Avatar Animation from a Single Image.","authors":"Jason M Saragih, Simon Lucey, Jeffrey F Cohn","doi":"10.1109/FG.2011.5771383","DOIUrl":null,"url":null,"abstract":"<p><p>A real time facial puppetry system is presented. Compared with existing systems, the proposed method requires no special hardware, runs in real time (23 frames-per-second), and requires only a single image of the avatar and user. The user's facial expression is captured through a real-time 3D non-rigid tracking system. Expression transfer is achieved by combining a generic expression model with synthetically generated examples that better capture person specific characteristics. Performance of the system is evaluated on avatars of real people as well as masks and cartoon characters.</p>","PeriodicalId":87341,"journal":{"name":"Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935737/pdf/nihms-554963.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FG.2011.5771383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

A real time facial puppetry system is presented. Compared with existing systems, the proposed method requires no special hardware, runs in real time (23 frames-per-second), and requires only a single image of the avatar and user. The user's facial expression is captured through a real-time 3D non-rigid tracking system. Expression transfer is achieved by combining a generic expression model with synthetically generated examples that better capture person specific characteristics. Performance of the system is evaluated on avatars of real people as well as masks and cartoon characters.

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通过单张图像制作实时头像动画
本文介绍了一种实时面部木偶系统。与现有系统相比,所提出的方法不需要特殊硬件,可实时运行(每秒 23 帧),并且只需要头像和用户的单张图像。用户的面部表情通过实时三维非刚性跟踪系统捕捉。表情转移是通过将通用表情模型与合成生成的示例相结合来实现的,后者能更好地捕捉人物的具体特征。该系统的性能在真人头像以及面具和卡通人物身上进行了评估。
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