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A Novel Method for 3D Morphing by Deformation Matrix with Triangle Meshes

机译:用三角形网格通过变形矩阵的三维变形的新方法

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We introduce a 3D morphing method which generates a merged model given a series of triangle meshes. Our morphing, based on a set of parameters between the source and target shapes, can show the process of the transformation from the source to the target smoothly. We choose a model as our reference mesh, and obtain corresponding unified models from other models which may have different number of vertices or facets. Given these unified models, parameters between any two meshes can be computed integrally or separately for each rigid part. Different forms of combination of the parameters can generate different merged models. To address the collapsed situation happened occasionally, shape and pose morphing are separated for some parts in our work. By merging different parts of different models, we can get a merged shape, e.g. an animal with the horse head and the cat body. As an application of our 3D morphing method, quantifying the difference between any two models can be done efficiently, represented by the distance between any two sets of low-dimensional parameters reduced from the initial parameters using Principal Component Analysis (PCA). Character replacement and model driven are another two applications. Characters in 2D images are used to guide our morphing work and depth image sequence is used to drive our merged model to show the same pose as the character in the sequence respectively.
机译:我们介绍了一个3D变形方法,它给出了一系列三角网格的合并模型。我们的变形基于源和目标形状之间的一组参数,可以顺利地显示从源转换的过程。我们选择一个模型作为我们的参考网格,并从其他模型获取相应的统一模型,该模型可以具有不同数量的顶点或方面。鉴于这些统一模型,可以为每个刚性部分一体地或单独计算任何两个网格之间的参数。不同形式的参数组合可以生成不同合并的模型。为了解决崩溃的情况,偶尔发生,形状和构成变形在我们工作中的某些零件中分开。通过合并不同模型的不同部分,我们可以获得合并的形状,例如,与马头和猫体的动物。作为我们的3D变形方法的应用,可以有效地完成任何两个模型之间的差异,由使用主成分分析(PCA)的初始参数从初始参数减少的任何两组低维参数之间的距离表示。字符替换和模型驱动是另外两个应用程序。 2D图像中的字符用于指导我们的变形工作和深度图像序列用于驱动我们合并模型,分别显示与序列中的字符相同的姿势。

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