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What is the best triangulation approach for a structured light system?

机译:结构化照明系统的最佳三角剖分方法是什么?

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It has become customary to calibrate a camera-projector pair in a structured light (SL) system as a stereo-vision setup. The 3D reconstruction is carried out by triangulation from the detected point at the camera sensor and its correspondence at the projector DMD. There are several algebraic formulations to obtain the coordinates of the 3D point, especially in the presence of noise. However, it is not clear what is the best triangulation approach. In this study, we aimed to determine the most suitable triangulation method for SL systems in terms of accuracy and execution time. We assess different strategies in which both coordinates in the projector are known (point-point correspondence) and the case in which only the one coordinate in the DMD is known (point-line correspondence). We also introduce the idea of estimating the second projector coordinate with epipolar constraints. We carried out simulations and experiments to evaluate the differences between the triangulation methods, considering the phase-depth sensitivity of the system. Our results show that under suboptimal phase-depth sensitivity conditions, the triangulation method does influence the overall accuracy. Therefore, the system should be arranged for optimal phase-depth sensitivity so that any triangulation method ensures the same accuracy.
机译:在立体照明(SL)系统中校准摄像机/投影仪对已成为惯例。通过从相机传感器上的检测点及其在投影机DMD上的对应关系进行三角剖分,可以执行3D重建。有几种代数公式可以获取3D点的坐标,尤其是在存在噪声的情况下。但是,尚不清楚最佳的三角剖分方法是什么。在这项研究中,我们旨在从准确性和执行时间方面确定最适合SL系统的三角剖分方法。我们评估了不同的策略,在这些策略中,投影机中的两个坐标都是已知的(点-点对应),而在DMD中只有一个坐标是已知的情况(点-线对应)。我们还介绍了估计带有对极约束的第二个投影仪坐标的想法。考虑到系统的相位深度灵敏度,我们进行了仿真和实验以评估三角测量方法之间的差异。我们的结果表明,在欠佳的相位深度灵敏度条件下,三角剖分方法确实会影响整体精度。因此,应将系统布置为具有最佳的相位深度灵敏度,以便任何三角测量方法都可以确保相同的精度。

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