摘要
已有的网格简化算法容易丢失大量褶皱、边界等明显几何特征,导致简化后的模型在视觉上失真,为此提出一种基于谷脊线特征的三维网格模型简化方法.首先基于隐式曲面提取网格模型的谷脊线,得到体现重要性几何信息的模型特征点;然后利用层次化的紧支撑径向基函数(CS-RBFs)将上述模型特征点恢复成隐式曲面,得到简化后的三维网格模型.与N-Garland方法对比的实验结果表明,文中方法能显著地减少网格模型顶点数,生成的模型精确度高,生成过程高效.
Geometric features such as creases and boundaries of mesh models are sensitive to human eyes. However, existing simplification methods tend to ignore these important geometric features. Thus, they may lead to visual distortion in the simplified model. To address the problem, we present a ridge-valley line based simplification method. First, the method extracts ridge-valley lines via implicit surface reconstruction of the original model. Then, the geometric feature points that contain important geometric information are extracted from the ridge-valley lines. Finally, a multi-scale compactly support radical basis functions (CS-RBFs) approach is adopted to reconstruct the implicit surface of the simplified model. Implementation results show that the proposed method can simplify the model efficiently and accurately, meanwhile it can reduce the number of vertices significantly compared with N-Garland method.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2014年第5期788-793,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(61202225
61272094)
教育部博士点基金新教师类项目(20133704120009)
山东省高等学校科技计划项目(J13LN13
J11LG32)
深圳市基础研究项目(JC201105190934A)
关键词
模型简化
模型特征
谷脊线
隐式曲面
model simplification
model feature
ridge-valley lines
implicit surface