摘要
为了特征保持地光顺带噪声的三角网格,提出一种基于顶点预测的光顺算法.分析了三角网格的每个顶点与一阶邻域顶点和二阶邻域三角形之间的几何关系,应用带平均曲率权的双边滤波器和准Laplacian光顺算子,通过三步预测顶点的坐标位置,把三角网格的原始顶点单步移动到预测的新坐标,得到光顺后的三角网格.该算法在光顺的同时有效地保持了原始三角网格的特征.实验结果表明,此网格光顺算法处理小噪声和大噪声都是有效且鲁棒的.
A feature-preserving smoothing algorithm for triangular meshes was proposed based on the geometric analysis of vertex's relation with the specific local neighbors, as well as on practical and reasonable understanding of the difference between features and noises. The algorithm was divided into three passes of vertex estimation. The three-pass vertex estimation, which simply combined mean-curvature-weighted mesh bilateral filtering and quasi-Laplacian smoothing operator, was performed to smooth out the mesh rapidly whilst preserving the sharp geometric features. The experimental data showed that the presented smoothing algorithm worked well for both small-scale and large-scale noises, and was more efficient and robust than previous methods.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2004年第12期1535-1539,共5页
Journal of Zhejiang University：Engineering Science
基金
国家"973"重点基础研究发展规划资助项目(2002CB312101).
关键词
三角网格光顺
顶点预测
双边滤波器
准Laplacian光顺
特征保持
Graph theory
Learning algorithms
Robustness (control systems)
Scanning
Signal filtering and prediction
Three dimensional
