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A Sharpness-Dependent Filter for Recovering Sharp Features in Repaired 3D Mesh Models

机译:依赖于清晰度的滤镜,可在修复的3D网格模型中恢复鲜明的特征

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This paper presents a sharpness-based method for hole-filling that can repair a 3D model such that its shape conforms to that of the original model. The method involves two processes: interpolation-based hole-filling, which produces an initial repaired model; and post-processing, which adjusts the shape of the initial repaired model to conform to that of the original model. In the interpolation-based hole-filling process, a surface interpolation algorithm based on the radial basis function creates a smooth implicit surface that fills the hole. Then, a regularized marching tetrahedral algorithm is used to triangulate the implicit surface. Finally a stitching and regulating strategy is applied to the surface patch and its neighboring boundary polygon meshes to produce an initial repaired mesh model, which is a regular mesh model suitable for post-processing. During post-processing, a sharpness dependent filtering algorithm is applied to the initial repaired model. This is an iterative procedure whereby each iteration step adjusts the face normal associated with each meshed polygon to recover the sharp features hidden in the repaired model. The experiment results demonstrate that the method is effective in repairing incomplete 3D mesh models.
机译:本文提出了一种基于清晰度的孔填充方法,该方法可以修复3D模型,使其形状与原始模型的形状一致。该方法涉及两个过程:基于插值的孔填充,生成初始修复的模型;然后进行后期处理,以调整原始修复模型的形状以使其与原始模型一致。在基于插值的孔填充过程中,基于径向基函数的表面插值算法会创建填充孔的平滑隐式表面。然后,使用正则行进四面体算法对隐式曲面进行三角剖分。最后,将缝合和调整策略应用于表面补丁及其相邻的边界多边形网格,以生成初始修复的网格模型,该模型是适用于后处理的常规网格模型。在后处理期间,将依赖于清晰度的过滤算法应用于初始修复的模型。这是一个迭代过程,每个迭代步骤都会调整与每个网格多边形关联的面法线,以恢复隐藏在修复模型中的尖锐特征。实验结果表明,该方法可有效修复不完整的3D网格模型。

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