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View synthesis by the parallel use of GPU and CPU

机译:通过并行使用GPU和CPU进行视图综合

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摘要

We present an algorithm for efficient depth calculations and view synthesis. The main goal is the on-line generation of realistic interpolated views of a dynamic scene. The inputs are video-streams originating from two or more calibrated, static cameras. Efficiency is accomplished by the parallel use of the CPU and the GPU in a multi-threaded implementation. The input images are projected on a plane sweeping through 3D space, using the hardware accelerated transformations available on the GPU. A correlation measure is calculated simultaneously for all pixels on the plane and is compared at the different plane positions. A noisy 'virtual' view and a crude depth map result in very limited time. We apply a min-cut/max-flow algorithm on a graph, implemented on the CPU, to ameliorate this result by a global optimisation.
机译:我们提出了一种有效的深度计算和视图合成算法。主要目标是在线生成动态场景的逼真的插值视图。输入是源自两个或更多经过校准的静态摄像机的视频流。通过在多线程实现中并行使用CPU和GPU来实现效率。使用GPU上可用的硬件加速转换,将输入图像投影到扫描3D空间的平面上。同时为该平面上的所有像素计算一个相关度量,并在不同平面位置进行比较。嘈杂的“虚拟”视图和粗略的深度图导致非常有限的时间。我们将最小切割/最大流量算法应用于在CPU上实现的图形,以通过全局优化来改善此结果。

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