系统仿真学报 ›› 2019, Vol. 31 ›› Issue (11): 2247-2254.doi: 10.16182/j.issn1004731x.joss.19-FZ0295

• 仿真建模理论与方法 • 上一篇    下一篇

一种视觉特征保持的网格模型简化方法

车力1,2, 唐德军1, 李世民1, 康凤举2   

  1. 1. 陆军航空兵学院,北京 100123;
    2. 西北工业大学航海学院,西安 710072
  • 收稿日期:2019-05-16 修回日期:2019-07-08 出版日期:2019-11-10 发布日期:2019-12-13
  • 作者简介:车力(1986-),男,陕西渭南,博士,工程师,研究方向为计算机建模、仿真与可视化;唐德军(1975-),男,山东济南,工程师,研究方向为装备指挥管理与仿真;李世民(1986-),男,山西临汾,学士,工程师,研究方向为装备论证评估。

A Mesh Model Simplification Method Based on Visual Feature Preservation

Che Li1,2, Tang Dejun1, Li Shimin1, Kang Fengju2   

  1. 1. Army Aviation Institute, Beijing 100123, China;
    2. Marine College, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2019-05-16 Revised:2019-07-08 Online:2019-11-10 Published:2019-12-13

摘要: 针对网格简化算法存在模型视觉特征丢失、过简化等问题,提出了一种视觉特征保持的三角形折叠网格模型简化算法。采用多视点感知方法对原始模型与简化模型在最优视点集下的二维视图差异作为简化引起的视觉感知降质在二次误差度量Quadric Error Metric,QEM基础上引入三角形特征因子构建了几何特征误差度量函数结合视觉感知和几何误差定义三角形折叠误差度量函数以控制模型的简化深度通过优化新顶点位置与误差更新实现了视觉特征保持的网格模型简化。实验结果表明提出算法在简化视觉质量和几何质量方面优于传统的方法,能够较好的保持模型的视觉、几何特征信息。

关键词: 网格简化, 多视点误差, 二次误差度量, 视觉特征

Abstract: Aiming at the problems of mesh visual feature loss and oversimplification in mesh simplification algorithm, a visual feature preservation based triangle mesh model simplification algorithm is proposed. The multi-viewpoint perception method is used to measure the visual perception error caused by the difference between the original and the simplified model in the two-dimensional view under the optimal viewpoint set. Based on QEM algorithm, a novel geometric error metric is built by introducing the triangle shape factor. The triangle collapse error function is defined by combining visual perception and geometric error to control the simplified depth of the model. Through new vertex position optimization and error update, the mesh model simplification ofvisual feature preservation is achieved. The experimental results show that the proposed algorithm outperforms the traditional method in simplifying visual quality and geometric quality, and can better maintain the visual and geometric feature information of the model.

Key words: mesh simplification, multi-viewpoint error, quadric error metric, visual features

中图分类号: