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Embedded Voxel Colouring

机译:嵌入式体素着色

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摘要

The reconstruction of a complex scene from multiple images is a fundamental problem in the field of computer vision. Volumetric methods have proven to be a strong alternative to traditional correspondence-based methods due to their flexible visibility models. In this paper we analyse existing methods for volumetric reconstruction and identify three key properties of voxel colouring algorithms: a water-tight surface model, a monotonic carving order, and causality. We present a new Voxel Colouring algorithm which embeds all reconstructions of a scene into a single output. While modelling exact visibility for arbitrary camera locations, Embedded Voxel Colouring removes the need for a priori threshold selection present in previous work. An efficient implementation is given along with results demonstrating the advantages of posteriori threshold selection.
机译:从多个图像重建复杂场景是计算机视觉领域的基本问题。体积方法由于其灵活的可见性模型,已被证明是传统基于对应方法的强大替代方法。在本文中,我们分析了现有的体积重建方法,并确定了体素着色算法的三个关键属性:水密表面模型,单调雕刻顺序和因果关系。我们提出了一种新的Voxel着色算法,该算法将场景的所有重建都嵌入到单个输出中。在为任意摄像机位置建模精确的可见性时,Embedded Voxel Coloring消除了对先前工作中存在的先验阈值选择的需求。给出了一种有效的实现方式,并给出了证明后验阈值选择的优点的结果。

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