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Accelerated multi-view stereo using parallel processing capababilities of the GPUS

机译:利用GPU的并行处理功能加速多视点立体声

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This paper presents an accelerated implementation of a multi-view stereo pipeline using parallel processing capabilities of the GPUs. Our system takes as input a set of calibrated photographs and produces a textured 3D mesh of the scene. The pipeline is divided into three parts: dense stereo matching, multi-view correspondence linking and 3D model generation. First, we use a combined vertical aggregation and dynamic programming (DP) scheme to produce disparity maps between pairs of photographs. Then, the depth maps are computed using a multi-view correspondence linking algorithm. Finally, we use a Delaunay triangulation algorithm and texture mapping to produce the 3D model of the scene.
机译:本文介绍了使用GPU的并行处理功能加速实现多视图立体声管道的方法。我们的系统将一组校准的照片作为输入,并生成场景的带纹理的3D网格。流水线分为三个部分:密集立体匹配,多视图对应链接和3D模型生成。首先,我们使用组合的垂直聚合和动态编程(DP)方案来生成照片对之间的视差图。然后,使用多视图对应链接算法来计算深度图。最后,我们使用Delaunay三角剖分算法和纹理映射来生成场景的3D模型。

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