基于电影视觉特性的动态多目标实时相机规划

Real-time camera planning for dynamic multiple targets considering cinematographic visual properties

针对已有相机规划方案应对目标较少或无法做到实时性的问题,从自动实现相机视觉效果优化的角度出发,提出了一种对于动态多目标的实时相机规划方法。首先,通过在多个目标之间构造椭球形的相机空间;之后,获取场景中各目标相对相机的视觉特性,以此来构造非线性规划优化函数。通过模型预测控制的方法对目标在相机屏幕上的表现进行实时优化。通过对算法的运算时间、运行效率以及在场景中的运行表现进行实验,验证了本文方法能够有效地优化场景中各目标的视觉效果,对多目标相机规划问题的研究有一定促进作用。

As the existing camera planning schemes are unable to deal with multiple targets and achieve real-time effect, in this paper, focusing on automatically optimizing the camera visual effect, a real-time camera planning algorithm is proposed for dynamic multiple targets. The method first adopts the toric camera space among the multiple targets, then takes the visual properties of the targets as the input of the non-linear optimization function. With the model predictive control, we can optimize the targets visual effect in real time. By analyzing the operation time, efficiency and performance of the experiments, it is verified that this method can effectively optimize the visual effect of the targets in the scene and it promotes the research of the multi-target camera planning algorithm.