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基于特征跟踪和融合的人脸风格化动画的研究 被引量：2

A Stylized Method for Facial Cartoon Based on Feature Tracking and Rending
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摘要 文中为人脸图片或视频的风格化生成提出一种新方法。首先,通过主动外观模型(AAM)识别人脸的轮廓及五官,记录这些特征点的位置;然后,从现有样图中提取风格化因子,通过几何变形等手段映射到任意一张输入人脸图片上,合成具有样图风格化效果的人脸图片。本方法可以与许多应用结合,如电子贺卡、网上聊天等,可实现自动生成具有表情变化的风格化视频。此方法还有易于训练、速度快、扩展性强等特点。 Presents a new method for generating stylized facial picture or video. First, using training active appearance models to tracking facial feature and contours and mark the feature points. Then, extract stylized factor from stylized sample and corresponding realistic image. Apply tiffs stylized factor into any facial face, by means of metamcrphosis according to feature points. This method can be combined into many applications such as electronic card, online chatting. Can use this method to obtain stylized facial video with expressions. In addition, this method is easy to training, fast to complement and expandable.
作者 彭一凡 张翼 宋明黎
机构地区 浙江大学微软视觉感知联合实验室
出处 《计算机技术与发展》 2009年第2期127-129,136,共4页 Computer Technology and Development
基金 浙江大学科研训练项目
关键词 主动外观模型 特征跟踪 风格化因子 active appear model feature tracking stylized factor
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献5

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共引文献2

同被引文献22

  • 1武勃,黄畅,艾海舟,劳世竑.基于连续Adaboost算法的多视角人脸检测[J].计算机研究与发展,2005,42(9):1612-1621. 被引量：66
  • 2钟小品,薛建儒,郑南宁,平林江.基于融合策略自适应的多线索跟踪方法[J].电子与信息学报,2007,29(5):1017-1022. 被引量：21
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计算机技术与发展
2009年 第2期

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