Mesh Deformation Method Based on Mean Value Coordinates Interpolation

2016 ◽  
Vol 29 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Shuli Sun ◽  
Shuming Lv ◽  
Yuan Yuan ◽  
Mingwu Yuan
2012 ◽  
Vol 263-266 ◽  
pp. 1822-1829
Author(s):  
Zheng Jie Deng ◽  
Feng Wei Wang ◽  
Guo Yuan Chen ◽  
Chun Shi ◽  
Shu Qian He ◽  
...  

This paper proposes a mesh deformation method being able to quickly exchange between different editing granularities. The method firstly simplifies the original model mesh to obtain an accuracy-specified control mesh while preserving user’s pre-configured control handle vertices, and then computes the original mesh vertices’ mean value coordinates on the control mesh. Next, uses the Laplacian deformation to deform the control mesh with user’s editing, and then computes the deforming result based on the new control mesh and the previous mean value coordinates. Users can quickly generate a different accuracy control mesh of the new mesh again for deforming with a different granularity. Users only need edit some control vertices, which contains user’s specified handles, so the manipulation is convenient. Experiments show that users can deform models with this method, while changing the granularity fluently and preserving mesh’s features.


2018 ◽  
Vol 25 (2) ◽  
pp. 11
Author(s):  
Lis Custódio ◽  
Sinesio Pesco

The deformation methods based on cage controls became a subject of considerable interest due its simplicity and intuitive results. In this technique, the model is enclosed within a simpler mesh (the cage) and its points are expressed as function of the cage elements. Then, by manipulating the cage, the respective deformation is obtained on the model in its interior.In this direction, in the last years, extensions of barycentric coordinates, such as Mean Value coordinates, Positive Mean Value Coordinates, Harmonic coordinates and Green's coordinates, have been proposed to write the points of the model as a function of the cage elements.The Mean Value coordinates, proposed by Floater in two dimensions and extended later to three dimensions by Ju et al. and also by Floater, stands out from the other coordinates because of their simple derivation. However the existence of negative coordinates in regions bounded by non-convex cage control results in a unexpected behavior of the deformation in some regions of the model.In this work, we propose a modification in the derivation of Mean Value Coordinates proposed by Floater. Our derivation maintains the simplicity of the construction of the coordinates and eliminates the undesired behavior in the deformation by diminishing the negative influence of a control vertex on regions ofthe model not related to it. We also compare the deformation generated with our coordinates and the deformations obtained with the original Mean Value coordinates and Harmonic coordinates.


2005 ◽  
Vol 24 (3) ◽  
pp. 561-566 ◽  
Author(s):  
Tao Ju ◽  
Scott Schaefer ◽  
Joe Warren

2019 ◽  
Vol 18 (01) ◽  
pp. 1950039
Author(s):  
Sahuck Oh

When mesh boundaries move in a simulation because of the motion of a target object such as translation, rotation, and oscillation, the mesh should be regenerated to the points it will obey the locations of its new boundaries. Because recreating new mesh from the beginning is a time-consuming task, new mesh is usually created by deforming an initial mesh, which is called the mesh moving method (or mesh deformation method). In this paper, we present a new mesh moving method that produces a higher quality deformed mesh than the current mesh moving methods. In the proposed method, the deformation of mesh is evaluated by two energy quantities that are related to (i) the distortion of mesh that is invariant to translation, rotation, and size changes of the elements of the mesh and (ii) the deformation of mesh calculated using elements’ size based on stiffened-linear elasticity equations. The total deformation energy of mesh is defined as a weighted sum of these two quantities. Because there is no need to pre-fix the locations of the outer boundary points for most mesh moving problems, we use new constraints, allowing the outer boundary points to move along tangential directions in the proposed method. The deformed mesh is computed by calculating the positions of the mesh points where the total deformation energy of the mesh is minimized. For test purposes, the proposed method is applied to 2D triangular meshes and a 3D tetrahedral mesh, where the meshes are deformed by the motions of the target objects such as translation, rotation, and deformation. When the quality of the deformed meshes computed with the proposed method are compared with the ones computed with current mesh moving methods, the meshes from the proposed method are shown to be better than the other meshes.


2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Yuxiang Zhu ◽  
Yanjun Peng

We present a novel virtual try-on solution for fitting evaluation and pattern modification to design various types of garment and speed up the garment design process. In the phase of fit evaluation, we propose a method for producing two-dimensional (2D) color maps by comparing a 2D triangle mesh panel garment and a 3D triangle mesh garment, which can display the fit evaluation outcome in real time. In the phase of pattern modification, a novel prior condition based on maximum entropy coordinates and a more comprehensive mean value coordinates interpolation algorithm are proposed. By a combination of the two deformation methods, the positions of the internal vertices are updated smoothly. Applying the proposed method to the repetition of the garment design procedure, the experimental results show that it can easily pinpoint the location where it needs to be modified and can achieve arbitrary pattern modification with a smooth mesh update.


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