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Reconstructing Scenes with Mirror and Glass Surfaces

机译:用镜子和玻璃表面重建场景

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Planar reflective surfaces such as glass and mirrors are notoriously hard to reconstruct for most current 3D scanning techniques. When treated naively, they introduce duplicate scene structures, effectively destroying the reconstruction altogether. Our key insight is that an easy to identify structure attached to the scanner-in our case an AprilTag-can yield reliable information about the existence and the geometry of glass and mirror surfaces in a scene. We introduce a fully automatic pipeline that allows us to reconstruct the geometry and extent of planar glass and mirror surfaces while being able to distinguish between the two. Furthermore, our system can automatically segment observations of multiple reflective surfaces in a scene based on their estimated planes and locations. In the proposed setup, minimal additional hardware is needed to create high-quality results. We demonstrate this using reconstructions of several scenes with a variety of real mirrors and glass.
机译:众所周知,对于大多数当前的3D扫描技术,平面反射表面(例如玻璃和镜子)很难重建。天真地对待它们时,它们会引入重复的场景结构,从而完全破坏了重建过程。我们的主要见解是,连接到扫描仪的易于识别的结构(在我们的示例中为AprilTag)可以提供有关场景中玻璃和镜面的存在以及几何形状的可靠信息。我们引入了一种全自动管线,该管线使我们能够重构平面玻璃和镜面的几何形状和范围,同时能够区分两者。此外,我们的系统可以根据估计的平面和位置自动分割场景中多个反射表面的观察结果。在建议的设置中,只需最少的额外硬件即可创建高质量的结果。我们使用带有各种真实镜子和玻璃的几个场景的重建来演示这一点。

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