Shi Bao-Quan, Liang Jin
Appl Opt. 2016 Dec 20;55(36):10158-10169. doi: 10.1364/AO.55.010158.
In literature, there are many reports about how to build high-precision, high-speed, and/or flexibly structured light range scanners. Whereas, there are few papers reported about how to implement the scanning to reach the full potential of the scanners when digitizing various objects. In this paper, some scanning strategies adopted by the structured light range scanner XJTUOM are introduced. In order to build high-quality three-dimensional (3D) models for various applications, such as 3D inspection, if necessary, the object surface is prepared in advance by an application of coating spray. Then, a precise 3D coordinate control network (CNN) is established to control the overall measurement accuracy. When the sensor is adjusted to face the object, a visual measuring volume, which can guide the scanning, is automatically aligned to the established CNN. Meanwhile, to maintain the local region scanning accuracy, simple rules are developed to check the low-quality regions in each scanning. Finally, the advantages and limitations of these scanning strategies are discussed in detail. We hope our work will be helpful in order for others to make their own scanning plans with similar optical devices at hand.
在文献中，有许多关于如何构建高精度、高速和/或结构灵活的激光测距扫描仪的报道。然而，关于在对各种物体进行数字化时如何实施扫描以充分发挥扫描仪潜力的论文却很少。本文介绍了结构光测距扫描仪XJTUOM所采用的一些扫描策略。为了为各种应用（如三维检测）构建高质量的三维（3D）模型，如有必要，可通过喷涂涂层对物体表面进行预处理。然后，建立精确的三维坐标控制网络（CNN）以控制整体测量精度。当传感器调整至面向物体时，一个可引导扫描的视觉测量体积会自动与已建立的CNN对齐。同时，为保持局部区域的扫描精度，制定了简单规则以检查每次扫描中的低质量区域。最后，详细讨论了这些扫描策略的优缺点。我们希望我们的工作能有助于其他人利用手头类似的光学设备制定自己的扫描计划。
