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Online inserting virtual characters into dynamic video scenes

机译:在线将虚拟角色插入动态视频场景

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The seamless integration of virtual characters into dynamic scenes captured by video is a challenging problem. In order to achieve consistent composite results, both the virtual and real characters must share the same geometrical constraints and their interactions must follow some common sense. One essential question is how to detect the motion of real objects—such as real characters moving in the video—and how to steer virtual characters accordingly to avoid unrealistic collisions. We propose an online solution. First, by analysis of the input video, the motion states of the real pedestrians are recovered into a common world 3D coordinate system. Meanwhile, a simplified accuracy measurement is defined to represent the confidence of the motion estimate. Then, under the constraints imposed by the real dynamic objects, the motion of virtual characters are accommodated by a uniform steering model. The final step is to merge virtual objects back to the real video scene by taking into account visibility and occlusion constraints between real foreground objects and virtual ones. Several examples demonstrate the efficiency of the proposed algorithm
机译:将虚拟角色无缝集成到视频捕获的动态场景中是一个具有挑战性的问题。为了获得一致的合成结果,虚拟角色和真实角色必须共享相同的几何约束,并且它们的交互必须遵循一些常识。一个基本问题是如何检测真实对象(例如视频中移动的真实角色)的运动,以及如何相应地引导虚拟角色以避免不切实际的碰撞。我们提出一种在线解决方案。首先,通过分析输入视频,将真实行人的运动状态恢复到公共世界3D坐标系中。同时,定义了简化的精度测量以表示运动估计的置信度。然后,在真实动态对象施加的约束下,虚拟角色的运动由统一的转向模型提供。最后一步是考虑虚拟前景对象与虚拟前景对象之间的可见性和遮挡约束,将虚拟对象合并回真实视频场景。几个例子证明了该算法的有效性

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