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Improving Deformable Surface Meshes through Omni-directional Displacements and MRFs

机译：通过全向位移和mRF改善可变形表面网格

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D. Kainmueller; H. Lamecker; H. Seim; S. Zachow; H. -c. Hege;
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年度 2012
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1. Omnidirectional displacements for deformable surfaces [J] . KainmuellerD., LameckerH., HellerM.O., Medical image analysis . 2013,第4期

机译：可变形表面的全方位位移
2. Estimating the displacements of the surfaces of deformable objects and of solid bodies by an optical speckle-correlation technique [J] . Muravskii LI, Fito NV Journal of optical technology . 2005,第5期

机译：通过光学散斑相关技术估计可变形物体和固体表面的位移
3. Real-Time GPU Surface Curvature Estimation on Deforming Meshes and Volumetric Data Sets [J] . Griffin Wesley, Wang Yu, Berrios David, Visualization and Computer Graphics, IEEE Transactions on . 2012,第10期

机译：变形网格和体积数据集的实时GPU表面曲率估计
4. Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs [C] . D. Kainmueller, H. Lamecker, H. Seim, International conference on medical image computing and computer-assisted intervention;MICCAI 2010 . 2010

机译：通过全向位移和MRF改善可变形曲面网格
5. Fluid Animation on Deforming Surface Meshes [D] . Wang, Xiaojun. 2017

机译：变形曲面网格上的流体动画
6. Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy [O] . Jinke Wang, Changfa Shi 2017

机译：使用带有矢量场卷积能量的可变形单纯形网格自动构建统计形状模型
7. Highly Deforming Computational Meshes for CFD Analysis of Twin-Screw Positive Displacement Machines [O] . Sham Rane, Ahmed Kovačević, Nikola Stošić, 2018

机译：双螺杆正排量机CFD分析的高变形计算网格
8. Improved Displacement Transfer Functions for Structure Deformed Shape Predictions Using Discretely Distributed Surface Strains. [R] . Ko, W. L., Fleischer, V. T. 2012

机译：用离散分布曲面应变改进结构变形预测的位移传递函数。

Improving Deformable Surface Meshes through Omni-directional Displacements and MRFs

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