Orthogonal Coded Multi-view Structured Light for Inter-view Interference Elimination

Zaichao Sun, G. Qian, Zhaoyu Peng, Weiju Dai, Dongjun Sun, Gongyuan Zhang, Nongtao Zhang, Jun Xu, Ren Wang, Chunlin Li
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引用次数: 1

Abstract

Rapid 3D reconstruction of dynamic scenes is very useful in 3D object structure analysis, accident avoidance for UAV, and other visual applications. Against dynamic scenes, coded structured light methods have been proposed to obtain the depth information of an object in 3D world, and most of them are based on spatial codification. A brutal truth is that two or more cameras and projectors from different viewpoints are needed to measure the dynamic scene simultaneously for rapid 3D reconstruction. However, when two traditional patterns, especially the binaries, are mutually overlapped, interference between them arises to a new challenge to 3D reconstruction. Traditional patterns can hardly be separated from each other, which surely influence the quality of the 3D reconstruction. To eliminate the interference problem, we propose a scheme of orthogonal coded multi-view structured light systems, which can obtain accurate of depth maps for a scene. Besides, we also test the stability of the orthogonal patterns by establishing three different scenes and making a comparisons to traditional patterns. New state-of-the-art results can be obtained by our scheme in the experiments.
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正交编码多视点结构光消除视点间干扰
动态场景的快速三维重建在三维物体结构分析、无人机事故避免和其他视觉应用中非常有用。针对动态场景,人们提出了编码结构光方法来获取三维世界中物体的深度信息,这些方法大多是基于空间编码的。一个残酷的事实是,为了快速的3D重建,需要两个或更多的摄像机和投影仪从不同的角度同时测量动态场景。然而,当两种传统图案,特别是二进制图案相互重叠时,它们之间的干扰给三维重建带来了新的挑战。传统的图案很难相互分离,这必然会影响到三维重建的质量。为了消除干扰问题,我们提出了一种正交编码多视点结构光系统方案,该方案可以获得精确的场景深度图。此外,我们还通过建立三种不同场景,并与传统模式进行对比,来检验正交模式的稳定性。该方案在实验中可以得到新的、最先进的结果。
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