提出了一种基于特征的离散网格模型表示方法,能够表达传统三维网格模型中缺失的高层次信息,并以模型编辑为例显示了其应用价值.该特征结构利用特征线、特征面、特征组来建立离散网格的特征结构,用于描述模型的形状、约束、语义等信息,在原有网格模型的基础上构建了一个"超网格".通过构建特征间的拓扑关系和约束关系,模型在编辑过程中能够保持特定的形状和结构属性,同时,由于编辑操作造成的网格修改被限定在局部的特征区域内,从而提高了模型编辑的运算效率.
This paper presents a novel feature based mesh model representation to represent the missing high level information of the traditional 3D mesh model. The application value of this representation is demonstrated by employing it in the model manipulation approach. Its feature structure, which consists of feature line, feature patch and feature group, is designed to describe the shape, constraint and semantic information of the model. As a result, it constructs a hyper-mesh beyond the original mesh model. With the topology and constraint information between features, the model can maintain its shape and structure properties during the editing. Meanwhile, as the modifications are limited in the local area, the manipulation approach is more efficient.