论文标题

基于立体视图和多项式拟合的边缘投影概要仪的混合校准程序

Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting

论文作者

Vargas, Raul, Marrugo, Andres G., Zhang, Song, Romero, Lenny A.

论文摘要

在条纹投影初步法(FPP)中准确3D形状测量的关键是测量系统的正确校准。当前的校准技术依赖于相协调映射(PCM)或反向反射立体视频(SV)方法。 PCM方法很麻烦地实现,因为它们需要相对于FPP系统的校准目标精确定位,但在校准量内产生了高度准确的测量。 SV方法通常无法达到相同的精度水平。但是,校准更加灵活,因为校准目标可以任意定位。在这项工作中,我们提出了一种混合校准方法,该方法使用PCM方法利用SV校准方法来实现更高的精度。该方法具有SV方法的灵活性,对镜头扭曲具有鲁棒性,并且在恢复的相位和度量坐标之间具有简单的关系。实验结果表明,由于其计算复杂性低,该提出的混合方法就准确性和重建时间而言优于SV方法。

The key to accurate 3D shape measurement in Fringe Projection Profilometry (FPP) is the proper calibration of the measurement system. Current calibration techniques rely on phase-coordinate mapping (PCM) or back-projection stereo-vision (SV) methods. PCM methods are cumbersome to implement as they require precise positioning of the calibration target relative to the FPP system but produce highly accurate measurements within the calibration volume. SV methods generally do not achieve the same accuracy level. However, the calibration is more flexible in that the calibration target can be arbitrarily positioned. In this work, we propose a hybrid calibration method that leverages the SV calibration approach using a PCM method to achieve higher accuracy. The method has the flexibility of SV methods, is robust to lens distortions, and has a simple relation between the recovered phase and the metric coordinates. Experimental results show that the proposed Hybrid method outperforms the SV method in terms of accuracy and reconstruction time due to its low computational complexity.

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