Kaleidoscopic structured light

Kaleidoscopic structured light
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DOI:
10.1145/3478513.3480524
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发表时间:
2021-12
期刊:
ACM Transactions on Graphics (TOG)
影响因子:
--
通讯作者:
Byeongjoo Ahn;Ioannis Gkioulekas;Aswin C. Sankaranarayanan
Byeongjoo Ahn;Ioannis Gkioulekas;Aswin C. Sankaranarayanan
中科院分区:
其他
文献类型:
--
作者:
Byeongjoo Ahn;Ioannis Gkioulekas;Aswin C. Sankaranarayanan

文献摘要

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用于形状获取的全环绕3D成像对于生成真实世界物体的数字复制品至关重要。围绕一个对象,我们试图用万花筒扫描,也就是说,多个平面镜的配置,产生一个对象的图像,编码来自组合大量的虚拟视点的信息。该信息对于物体的全环绕3D重建实际上是有用的,但不能直接使用,因为我们不知道每个图像像素对应的虚拟视点-像素标签。我们介绍一种结构光系统,它结合了投影仪和相机与万花筒。然后,我们证明,我们可以准确地确定标签的投影仪和摄像机像素,任意万花筒配置,使用投影仪摄像机核几何。我们使用这个结果表明,我们的系统可以作为一个多视图结构光系统与数百个虚拟投影仪和摄像机。这使得我们的系统能够精确地扫描复杂的形状和全覆盖。我们展示了万花筒结构光系统的优点,通过扫描物体,表现出大范围的形状和反射率。
Full surround 3D imaging for shape acquisition is essential for generating digital replicas of real-world objects. Surrounding an object we seek to scan with a kaleidoscope, that is, a configuration of multiple planar mirrors, produces an image of the object that encodes information from a combinatorially large number of virtual viewpoints. This information is practically useful for the full surround 3D reconstruction of the object, but cannot be used directly, as we do not know what virtual viewpoint each image pixel corresponds---the pixel label. We introduce a structured light system that combines a projector and a camera with a kaleidoscope. We then prove that we can accurately determine the labels of projector and camera pixels, for arbitrary kaleidoscope configurations, using the projector-camera epipolar geometry. We use this result to show that our system can serve as a multi-view structured light system with hundreds of virtual projectors and cameras. This makes our system capable of scanning complex shapes precisely and with full coverage. We demonstrate the advantages of the kaleidoscopic structured light system by scanning objects that exhibit a large range of shapes and reflectances.