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

机译:基于RGB-D和RGB摄像机的方法实现灵活的3D重建卷

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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,相当多的方法来了解RGB或RGBD摄像机输入的三维卷。然而,大多数这些方法对于关于重建体积和要重建区域的整体尺寸的初始摄像机位置是不灵活的。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地扩展重建量克服这些问题。我们表明我们的方法另外需要由于基于金字塔的数据存储而显着更少的内存。我们展示了我们的方法是使用GPU实现的实时能力,并且通过该方法提供了一个灵活的替代方法,以便以先前的方法使用的数据结构。

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