Shape Evolution With Structural and Topological Changes Using Blending
Shape Evolution With Structural and Topological Changes Using Blending
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使用混合进行结构和拓扑变化的形状演化
DOI：
10.1109/34.730554
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Dimitris N. Metaxas
中科院分区：
文献类型：
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作者：
D. DeCarlo;Dimitris N. Metaxas
本文描述了一种从稀疏或不完全距离数据中估计形状的框架。它使用一种称为混合的形状表示，它允许形状的几何组合成一个统一的模型-组件形状的选定区域被剪切并粘合在一起。这种表示的形状估计是使用基于物理的框架实现的，它还包括一个决定如何调整模型的结构和拓扑以提高拟合的过程。混合表示通过允许形状平滑演变，有助于避免拟合过程中模型几何形状的突然变化，从而提高了技术的鲁棒性。我们通过一系列实验证明了该框架能够从给定结构和拓扑复杂对象的范围数据中自动提取结构化表示。
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric combination of shapes into a unified model - selected regions of the component shapes are cut-out and glued together. Estimation of shape by this representation is realized using a physics-based framework, and it also includes a process for deciding how to adapt the structure and topology of the model to improve the fit. The blending representation helps avoid abrupt changes in model geometry during fitting by allowing the smooth evolution of the shape, which improves the robustness of the technique. We demonstrate this framework with a series of experiments showing its ability to automatically extract structured representations from range data given both structurally and topologically complex objects.