动态场景中的摄像机运动跟踪

Jung-Jae Yu, Jae-Hean Kim
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引用次数: 3

摘要

为了将虚拟物体插入到真实图像中,物体的位置必须随着相机的移动而无缝显示。这就要求摄像机跟踪每帧中所有内部和外部参数的估计,并具有足够的稳定性,以确保真实和虚拟元素之间可以忽略不计的可见漂移。在电影后期制作中,摄像机跟踪过程中通常使用基于SfM的匹配移动软件。然而,当试图在动态场景中跟踪摄像机时,大多数这类软件都失败了,在动态场景中,移动的前景物体(如真实演员)占据了大部分背景。因此,本研究提出了一种摄像机跟踪系统,该系统使用辅助摄像机来估计动态场景中主拍摄摄像机的运动和背景特征的三维位置。针对前景目标遮挡的特征轨迹,提出了一种新的重建与连接方法。对2K序列的实验证明了该方法的可行性。
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Camera motion tracking in a dynamic scene
To insert a virtual object into a real image, the position of the object must appear seamlessly as the camera moves. This requires camera tracking with estimations of all internal and external parameters in each frame with an adequate degree of stability to ensure negligible visible drift between the real and virtual elements. In the post production of film, matchmoving software based on SfM is typically used in the camera tracking process. However, most of this type of software fails when attempting to track the camera in a dynamic scene in which a moving foreground object such as a real actor occupies a large part of the background. Therefore, this study proposes a camera tracking system that uses an auxiliary camera to estimate the motion of the main shooting camera and 3D position of background features in a dynamic scene. A novel reconstruction and connection method was developed for feature tracks that are occluded by a foreground object. Experimentation with a 2K sequence demonstrated the feasibility of the proposed method.
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