基于延迟着色与动态目标光效应的航空场景反走样算法

针对航空仿真中的视景画面走样问题,提出一种基于延迟着色与动态目标光效应的反走样算法。首先,针对宏观静态场景,综合利用法线信息与位置信息提取场景的边缘区域,通过抖动采样对边缘进行平滑处理,并采用一定倍数的超采样进行反走样结果优化;其次,在上一步的基础上,针对场景中的动态目标,建立几何变换与光效应的数学模型,通过计算动态目标伪距离和动态目标在虚拟场景中的位置坐标确定最终的显示效果,以解决动态目标在实时运动中走样和像素丢失的问题。最后,在某型号飞行仿真平台进行了算法验证。实验结果表明该算法能够解决航空仿真中静态场景和动态目标的走样问题,适用于航空仿真训练。

Anti-aliasing algorithm for aerial scene based on deferred shading and target light effect

This paper proposed a new anti-aliasing algorithm based on delay coloring and dynamic target light effect to solve the problem of aliasing in aerial simulation.Firstly,for the macro static scene,it extracted the edge region of the scene by using the normal information and position information,and smoothed the edge by jitter sampling,and optimized the anti-alia-sing result by using certain multiple of super-sampling.Secondly,on the basis of the previous step,for the dynamic target in the scene,it established the mathematical model of geometric transformation and light effect.The final display effect was determined by calculating the pseudo-distance and the position coordinates of dynamic targets in the virtual scene,so as to solve the problem of aliasing and pixel loss in the real-time motion of dynamic targets.Finally,it verified the algorithm in a flight simulation platform.Experimental results show that the algorithm can solve the problem of aliasing in static scene and dynamic target in aviation simulation,and it is suitable for aviation simulation training.