Skeleton-based variational mesh deformations

被引:42
|
作者
Yoshizawa, Shin [1 ]
Belyaev, Alexander [1 ]
Seidel, Hans-Peter [1 ]
机构
[1] RIKEN, Wako, Saitama, Japan
关键词
D O I
10.1111/j.1467-8659.2007.01047.x
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper a new free-form shape deformation approach is proposed. We combine a skeleton-based mesh deformation technique with discrete differential coordinates in order to create natural-looking global shape deformations. Given a triangle mesh, we first extract a skeletal mesh, a two-sided Voronoi-based approximation of the medial axis. Next the skeletal mesh is modified by free-form deformations. Then a desired global shape deformation is obtained by reconstructing the shape corresponding to the deformed skeletal mesh. The reconstruction is based on using discrete differential coordinates. Our method preserves fine geometric details and original shape thickness because of using discrete differential coordinates and skeleton-based deformations. We also develop a new mesh evolution technique which allow us to eliminate possible global and local self intersections of the deformed mesh while preserving fine geometric details. Finally, we present a multi-resolution version of our approach in order to simplify and accelerate the deformation process. In addition, interesting links between the proposed free-form shape deformation technique and classical and modern results in the differential geometry of sphere congruences are established and discussed.
引用
收藏
页码:255 / 264
页数:10
相关论文
共 50 条
  • [21] ViviSection: Skeleton-based Volume Editing
    Karimov, A.
    Mistelbauer, G.
    Schmidt, J.
    Mindek, P.
    Schmidt, E.
    Sharipov, T.
    Bruckner, S.
    Groeller, E.
    COMPUTER GRAPHICS FORUM, 2013, 32 (03) : 461 - 470
  • [22] Improving the accuracy of skeleton-based vectorization
    Hilaire, X
    Tombre, K
    GRAPHICS RECOGNITION: ALGORITHMS AND APPLICATIONS, 2002, 2390 : 273 - 288
  • [23] Revisiting Skeleton-based Action Recognition
    Duan, Haodong
    Zhao, Yue
    Chen, Kai
    Lin, Dahua
    Dai, Bo
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 2959 - 2968
  • [24] Skeleton-Based Abnormal Gait Detection
    Trong-Nguyen Nguyen
    Huu-Hung Huynh
    Meunier, Jean
    SENSORS, 2016, 16 (11):
  • [25] Skeleton-based motion prediction: A survey
    Usman, Muhammad
    Zhong, Jianqi
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 16
  • [26] Skeleton-based control of fluid animation
    Guijuan Zhang
    Dengming Zhu
    Xianjie Qiu
    Zhaoqi Wang
    The Visual Computer, 2011, 27 : 199 - 210
  • [27] Skeleton-based cerebrovascular quantitative analysis
    Xingce Wang
    Enhui Liu
    Zhongke Wu
    Feifei Zhai
    Yi-Cheng Zhu
    Wuyang Shui
    Mingquan Zhou
    BMC Medical Imaging, 16
  • [28] Skeleton-based morphological shape comparison
    Vizilter Y.V.
    Sidyakin S.V.
    Rubis A.Y.
    Gorbatsevich V.
    Pattern Recognition and Image Analysis, 2011, 21 (2) : 357 - 360
  • [29] A hierarchical skeleton-based implicit model
    Malheiros, MD
    Wu, ST
    X BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS, 1997, : 65 - 70
  • [30] Skeleton-based computational method for the generation of a 3D finite element mesh sizing function
    William Roshan Quadros
    Kenji Shimada
    Steven James Owen
    Engineering with Computers, 2004, 20 : 249 - 264