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A New Volumetric Implicit Surface Data Structure and Its Triangulation Algorithm Applied to Mesh Integration

机译:一种新的体积隐式曲面数据结构及其三角剖分算法在网格集成中的应用

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In this paper we propose a new volumetric implicit surface data structure as an alternative representation to perform mesh processing algorithms. We introduce a new triangulation algorithm suitable for our voxel-based volumetric structure which is a vector field distance transform from an explicit mesh. This new representation is an extension of the implicit scalar field distance function of a mesh. We show our new vector field function is more accurate than the classic scalar field function by comparing both representations with an error metric evaluation. We adapt to this new vector representation mesh integration operation in the reconstruction process of 3D objects from scanned data which was previously performed on the implicit scalar field function. Results show that using this new vector field representation, our mesh integration and mesh triangulation algorithm designs outperform the previous processes based on the implicit scalar field function representation.
机译:在本文中,我们提出了一种新的体积隐式曲面数据结构,作为执行网格处理算法的替代表示。我们介绍了一种适用于基于体素的体积结构的新三角剖分算法,该算法是从显式网格进行矢量场距离转换。此新表示形式是网格的隐式标量场距离函数的扩展。通过将两种表示形式与误差度量评估进行比较,我们证明了新的矢量场函数比经典的标量场函数更准确。我们从以前对隐式标量场函数执行的扫描数据中重建3D对象的过程中,适应了这种新的矢量表示网格集成操作。结果表明,使用这种新的矢量场表示,我们的网格集成和网格三角剖分算法设计优于基于隐式标量场函数表示的先前过程。

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