AR场景中的基础态势数据展示与优化

Basic Situation Data Display and Optimization in Augmented Reality Scenarios

随着增强现实(AR)设备的发展,增强态势已经成为其主要应用点。由于AR设备计算能力和图像处理能力的不足,存在场景生成速度慢和视野狭窄等问题。基于AR设备上的态势信息显示应用和设备地理信息场景显示功能的实现,本文对地形分块化算法进行优化,并提出一种自适应Mesh区域化算法来解决上述问题。对所提出的算法、传统地形生成算法和地形分块化算法进行测试,通过对比和分析,结果表明,所提算法比传统地形生成算法在显示效果和精细度方面更优,比地形分块化算法系统开销更小。因此,本文提出的自适应Mesh区域化算法可以用较小的硬件开销保证增强态势显示应用中地理信息场景显示功能的效果。

With the development of augmented reality(AR)devices,augmented situation has become a major application point.Due to the lack of computing power and image processing power of AR equipment,there exist some problems such as slow scene generation speed and narrow field of vision.Based on the application of situation information display on AR equipment and the realization of the display function of device geographic information scene,this paper optimizes the terrain segmentation algorithm and proposes an adaptive Mesh regionalization algorithm to solve the above problems.The proposed algorithm,traditional terrain generation algorithm and terrain segmentation algorithm are tested.By comparing and analyzing,the test results show that this algorithm is superior to the traditional terrain generation algorithm in terms of display effect and fineness,and has less system overhead than the terrain segmentation algorithm.Therefore,the adaptive Mesh regionalization algorithm proposed in this paper can guarantee the effect of geographic information scene display function in augmented situation display application with less hardware cost.