Progressive mesh decimation by successive edge collapses is a standard tool in geometry processing. A key element of such algorithms is the error metric, which prioritizes the edge collapses to greedily minimize the simplification error. Most previous works focus on preserving local shape properties. However, meshes describing complex systems often require significant decimation for fast transmission and visualization on low-end terminals, and preserving the arrangement of objects is required to maintain the overall system readability for applications such as on-site repair, inspection, training, serious games, etc.

We present a novel approach for the joint decimation of multiple triangular meshes. We combine local edge error (e.g. Quadric Error Metric) with a proximity-aware penalty function, which increases the error of edge collapses modifying the geometry in proximity areas. We propose an automatic detection of proximity areas and we demonstrate the performances of our approach on several models generated from CAD scenes.

通过连续边缘塌陷进行渐进式网格抽取是几何处理中的标准工具。此类算法的关键要素是误差度量，该度量优先考虑边缘塌陷，以贪婪地最小化简化误差。以前的大多数工作都着重于保留局部形状属性。但是，描述复杂系统的网格通常需要大量抽取才能在低端终端上进行快速传输和可视化，并且需要保留对象的排列以保持整个系统的可读性，例如现场维修，检查，培训，严肃的游戏等

我们提出了一种新颖的方法来对多个三角形网格进行联合抽取。我们将局部边缘误差（例如，二次误差度量）与具有邻近感知能力的惩罚函数结合在一起，这会增加边缘坍塌的误差，从而修改邻近区域的几何形状。我们建议对邻近区域进行自动检测，并在从CAD场景生成的多个模型上演示我们的方法的性能。