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Automatic camera control in virtual environments augmented using multiple sparse videos

机译:使用多个稀疏视频增强虚拟环境中的自动摄像机控制

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Automated virtual camera control has been widely used in animation and interactive virtual environments. We have developed a multiple sparse camera based free view video system prototype that allows users to control the position and orientation of a virtual camera, enabling the observation of a real scene in three dimensions (3D) from any desired viewpoint. Automatic camera control can be activated to follow selected objects by the user. Our method combines a simple geometric model of the scene composed of planes (virtual environment), augmented with visual information from the cameras and pre-computed tracking information of moving targets to generate novel perspective corrected 3D views of the virtual camera and moving objects. To achieve real-time rendering performance, viewdependent textured mapped billboards are used to render the moving objects at their correct locations and foreground masks are used to remove the moving objects from the projected video streams. The current prototype runs on a PC with a common graphics card and can generate virtual 2D views from three cameras of resolution 768 x 576 with several moving objects at about 11 fps.
机译:自动虚拟相机控制已广泛用于动画和交互式虚拟环境中。我们已经开发了基于多稀疏相机的自由视图视频系统原型,该原型允许用户控制虚拟相机的位置和方向,从而可以从任何所需的视点观察3维(3D)的真实场景。可以激活自动摄像机控制以跟随用户的选定对象。我们的方法结合了由平面(虚拟环境)组成的场景的简单几何模型,并结合了来自摄像机的视觉信息和预先计算的运动目标跟踪信息,以生成虚拟摄像机和运动对象的新颖的透视校正3D视图。为了实现实时渲染性能,使用与视图相关的纹理映射广告牌在其正确位置渲染运动对象,并使用前景蒙版从投影的视频流中删除运动对象。当前的原型可以在具有普通图形卡的PC上运行,并且可以从三个分辨率为768 x 576的摄像机以及几个运动对象以约11 fps的速度生成虚拟2D视图。

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