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Achieving Flexible 3D Reconstruction Volumes for RGB-D and RGB Camera Based Approaches

机译:为基于RGB-D和RGB相机的方法实现灵活的3D重建体积

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Recently, quite a number of approaches came up to reconstruct 3D volumes from RGB or RGBD camera input. However, most of these approaches are rather inflexible regarding the initial camera position with respect of the reconstruction volume and the overall size of the area to be reconstructed. This severly limits the usability of those approaches. In this work we present a flexible approach to store and dynamically extend the reconstruction volume overcoming those problems. We show that our approach additionally requires significantly less memory due to a pyramid-based data storage. We demonstrate that our approach is real-time capable when implemented using the GPU and by that provides a flexible alternative to data structures used in previous approaches.
机译:最近,出现了很多方法可以从RGB或RGBD摄像机输入中重建3D体积。然而,关于重建体积和要重建区域的整体大小,这些方法中的大多数在初始摄像机位置方面都不太灵活。这严重限制了这些方法的可用性。在这项工作中,我们提出了一种灵活的方法来存储和动态扩展重建量,以克服这些问题。我们表明,由于基于金字塔的数据存储,我们的方法还需要显着更少的内存。我们证明了使用GPU来实现我们的方法是实时的,从而为以前方法中使用的数据结构提供了灵活的替代方案。

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