多属性递进网格快速生成算法研究

递进网格表示法能高效地存储网格信息,并能生成连续的细节层次模型,支持模型的多分辨率表示、递进传输、网格压缩和有选择精化。文中提出并实现了一种基于二次误差测度的多属性递进网格生成算法。同Hoppe提出的基于能量优化的算法和以往大多支持仅具有几何属性的算法相比,该算法具有生成速度快、质量高、可处理包含色彩、纹理等多属性递进网格模型的特点。

Research on High-Speed Algorithm to Generate Progressive Mesh with Multi-Attributes

Progressive meshes can store mesh information efficiently and generate continuous level of detail models.They support multiresolution representation,progressive transmission and selective refinement.Proposes and implements an algorithm to generate progressive mesh with multi-attributes based on quadric error metric.Compared with the algorithm proposed by Hoppe which is based on energy optimization,and those algorithms that only supports geometry attribute,this algorithm is characterised by high generation rate,high quality and the ability of processing progressive mesh with multi-attributes.