系统仿真学报 ›› 2019, Vol. 31 ›› Issue (5): 853-860.doi: 10.16182/j.issn1004731x.joss.17-0169
戴佳佳1, 范丽鹏1,2, 庞明勇1
收稿日期:
2017-04-20
修回日期:
2017-07-04
出版日期:
2019-05-08
发布日期:
2019-11-20
作者简介:
戴佳佳(1993-),女,安徽芜湖,博士生,研究方向为数字几何处理。
基金资助:
Dai Jiajia1, Fan Lipeng1,2, Pang Mingyong1
Received:
2017-04-20
Revised:
2017-07-04
Online:
2019-05-08
Published:
2019-11-20
摘要: 提出一种由可编辑特征驱动的三维网格模型自适应重采样算法,该算法运用一组特征曲线控制重采样密度。将网格模型参数化到平面域,用灰度几何图像表示原模型的局部几何信息;由几何图像的灰度及用户编辑信息定义三维模型表面采样的密度控制函数;该函数控制采样点在参数域中的疏密分布,并采用重心Voronoi方法优化采样点的局部分布;将采样结果映射到三维空间生成重采样模型。算法能有效地处理不同模型,得到的重采样点分布具有局部特征自适应性,用户以交互方式控制采样分布。
中图分类号:
戴佳佳, 范丽鹏, 庞明勇. 特征驱动的三维网格模型自适应重采样算法[J]. 系统仿真学报, 2019, 31(5): 853-860.
Dai Jiajia, Fan Lipeng, Pang Mingyong. Adaptively Resampling 3D Mesh Models Based on Editable Features[J]. Journal of System Simulation, 2019, 31(5): 853-860.
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