Lightweight wrinkle synthesis for 3D facial modeling and animation

被引:14
|
作者
Li, Jun [1 ]
Xu, Weiwei [2 ]
Cheng, Zhiquan [3 ]
Xu, Kai [4 ]
Klein, Reinhard [1 ]
机构
[1] Univ Bonn, Bonn, Germany
[2] Hangzhou Normal Univ, Hangzhou, Zhejiang, Peoples R China
[3] Avatar Sci Co, Hefei, Peoples R China
[4] Natl Univ Def Technol, Changsha, Hunan, Peoples R China
关键词
3D facial animation; Texture synthesis; Lightweight wrinkle generation; TEXTURE SYNTHESIS;
D O I
10.1016/j.cad.2014.08.016
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present a lightweight non-parametric method to generate wrinkles for 3D facial modeling and animation. The key lightweight feature of the method is that it can generate plausible wrinkles using a single low-cost Kinect camera and one high quality 3D face model with details as the example. Our method works in two stages: (1) offline personalized wrinkled blendshape construction. User-specific expressions are recorded using the RGB-Depth camera, and the wrinkles are generated through example-based synthesis of geometric details. (2) Online 3D facial performance capturing. These reconstructed expressions are used as blendshapes to capture facial animations in real-time. Experiments on a variety of facial performance videos show that our method can produce plausible results, approximating the wrinkles in an accurate way. Furthermore, our technique is low-cost and convenient for common users. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:117 / 122
页数:6
相关论文
共 50 条
  • [1] Modeling and animation of individualized faces for 3D facial expression synthesis
    Zhang, Y
    Prakash, EC
    Sung, E
    [J]. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2003, 13 (01) : 42 - 64
  • [2] 3D facial modeling for animation: A nonlinear approach
    Wang, Yushun
    Zhuang, Yueting
    [J]. ADVANCES IN MULTIMEDIA MODELING, PT 1, 2007, 4351 : 64 - 73
  • [3] 3D facial modeling, animation, and rendering for digital humans: A survey
    Zhang, Yiwei
    Su, Renbin
    Yu, Jun
    Li, Rui
    [J]. NEUROCOMPUTING, 2024, 598
  • [4] 3D performance capture for facial animation
    MacVicar, D
    Ford, S
    Borland, E
    Rixon, R
    Patterson, J
    Cockshott, P
    [J]. 2ND INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING, VISUALIZATION, AND TRANSMISSION, PROCEEDINGS, 2004, : 42 - 49
  • [5] 3D Facial Animation for Mobile Devices
    De Martino, Jose Mario
    Leite, Tatiane Silvia
    [J]. WSCG 2010: FULL PAPERS PROCEEDINGS, 2010, : 81 - 87
  • [6] 3D HUMAN FACE MODELING FOR FACIAL ANIMATION USING REGIONAL ADAPTATION
    Huang, Yanhui
    Fan, Yangyu
    Liu, Weihua
    Wang, Liangliang
    [J]. 2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP), 2014, : 394 - 398
  • [7] Editing and synthesis of 3D facial animation by motion propagation and isomap analysis
    Wang, Yushun
    Xiao, Jun
    Zhuang, Yueting
    Wang, Yujie
    [J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2008, 20 (12): : 1590 - 1595
  • [8] A review regarding the 3D facial animation pipeline
    de Carvalho Cruz, Artur Tavares
    Teixeira, Joao Marcelo
    [J]. PROCEEDINGS OF SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY, SVR 2021, 2021, : 192 - 196
  • [9] LBF based 3D Regression for Facial Animation
    Yan, Congquan
    Wang, Liang-Hao
    Li, Jianing
    Li, Dong-Xiao
    Zhang, Ming
    [J]. 2016 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2016), 2016, : 276 - 279
  • [10] A New Method of 3D Facial Expression Animation
    Sun, Shuo
    Ge, Chunbao
    [J]. JOURNAL OF APPLIED MATHEMATICS, 2014,