计算机应用 ›› 2014, Vol. 34 ›› Issue (10): 3000-3003.DOI: 10.11772/j.issn.1001-9081.2014.10.3000

• 虚拟现实与数字媒体 • 上一篇    下一篇

基于头皮层特征点的三维头发重用方法

刘海舟1,侯进1,2   

  1. 1. 西南交通大学 信息科学与技术学院,成都 610031
    2. 计算机软件新技术国家重点实验室(南京大学),南京 210093
  • 收稿日期:2014-04-23 修回日期:2014-06-04 出版日期:2014-10-01 发布日期:2014-10-30
  • 通讯作者: 刘海舟
  • 作者简介:刘海舟(1985-),男,四川江油人,硕士研究生,主要研究方向:虚拟现实;侯进(1969-),女,重庆人,副教授,博士,主要研究方向:多媒体、人机交互、虚拟现实、人工智能、自然语言处理。
  • 基金资助:

    国家自然科学基金资助项目;计算机软件新技术国家重点实验室开放课题基金资助项目;浙江大学CAD&CG国家重点实验室开放课题资助项目;四川省动漫研究中心2012年度科研项目

3D hair reusable method based on scalp layer feature points

LIU Haizhou1,HOU Jin1,2   

  1. 1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
    2. State Key Laboratory for Novel Software Technology (Nanjing University), Nanjing Jiangsu 210093, China
  • Received:2014-04-23 Revised:2014-06-04 Online:2014-10-01 Published:2014-10-30
  • Contact: LIU Haizhou

摘要:

针对在三维头发模型重用过程中,三维头发贴合到不同的人头模型时可能会出现的错位或大小不匹配的问题,提出一种基于头皮层特征点的三维头发重用方法。首先,根据模型文件的数据存储结构,分离出头发模型的头皮层,并提取特征点;其次,结合二维平面图像人脸检测方法,对目标三维人头模型的发根范围进行了特征点提取;然后,根据两个模型的特征点计算出的平移量与缩放系数,对头发模型整体进行了平移与缩放操作;最后,单独对头皮层和人头模型的贴合进行处理。最终能够使三维头发适应目标人头模型,保证头发造型信息无丢失,而且头皮层与人头模型达到了紧密贴合的效果。实验结果表明,该方法能够有效地提高三维头发模型的重用性,并且不受头发模型个性部分和分布区域等限制。

Abstract:

Aiming at solving the misplaced and mismatch problems when 3D hair attaches different head models in the reuse process, a 3D hair reusable method based on scalp layer feature points was proposed. Firstly, according to the data storage structure of the model file, the scalp layer was isolated from the hair model and the feature points were extracted. Secondly, combined with the 2D face image detection method, feature points of the range of hair root on head cortex were extracted. Then shift and zoom coefficients were calculated by the above mentioned feature points. Finally, the fitting process of scalp layer and head model was handled individually. Eventually the 3D hair was adapted to the target head model,which could keep hair styling information without loss. The effect of a close fit between the scalp layer and the head model was achieved. The experimental results show that the proposed method can effectively improve the reusability of 3D hair model, and it is not influenced by the restrictions of the hair model personality part and the distribution area.

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