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Viewpoint Planning of Projector Placement for Spatial Augmented Reality using Star-Kernel Decomposition

机译:使用星形内核分解的空间增强现实投影机放置的观点规划

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To obtain the targeted projection appearance in a spatial augmented reality system, we need to solve the projector placement problem. However, there are only heuristic solutions for viewpoint planning, which is the fundamental problem of projector placement. In this paper, we propose the star-kernel decomposition algorithm that can solve the viewpoint planning problem of an object composed of known polygons. The star-kernel decomposition algorithm decomposes a polygon into subpolygons that have non-empty star kernels. We implemented a program to obtain the placement of multiple projectors and evaluated the applicability of the obtained placement.
机译:为了在空间增强现实系统中获得目标投影外观,我们需要解决投影机的放置问题。 但是,只有启发式解决方案,即观点计划,这是投影机放置的根本问题。 在本文中,我们提出了可以解决由已知多边形组成的对象的视点计划问题的星形内核分解算法。 星形内核分解算法将多边形分解为具有非空星形内核的子多谷座。 我们实施了一个程序,以获得多个投影仪的放置并评估所获得的放置的适用性。

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