装备伪装效果可视化检测技术研究与实现

The Research and Implement in Visualization of Equipment Camouflage Effect

迷彩伪装是一种对抗军事侦察和武器攻击系统的常用手段,其伪装效果对提高部队战斗力和战场生存能力具有十分重要的作用。采用基于图像的三维重建技术,提出了一种改进的区域增长算法来实现空间散乱点的自主三角构网。该算法引入八叉树思想,对点云进行栅格化存储,以提高点云的搜索效率;在每条边界边向外扩展时,综合考虑与其相邻的两边界边对新扩展三角形的影响,保证三角网格能够稳定地增长;采用三角网格优化算法,使得网格中的三角形接近正三角形。

Pattern painting camouflage is the means used against military reconnaissance and weapon system. The camouflage effect plays a very important role in improving combat effectiveness and the viability in battlefield. This paper adopts image-based 3D reconstruction technique and proposes an improved region growing method to 3D scattered points Delaunay triangulation. For improving the searching efficiency, the algorithm stores the point cloud in the octree grid. Then, the paper raises the selection method in optimum points. Lastly, in order to ensure the triangle mesh can grow steadily, the relationship of two adjacent boundary edge expansion and the new expansion triangle is considered.