轮廓仪
结构光三维扫描仪
计量学
结构光
计算机科学
不连续性分类
稳健性(进化)
算法
相(物质)
尺寸计量学
光学
观测误差
绝对相位
人工智能
表面光洁度
材料科学
数学
相位噪声
物理
扫描仪
基因
统计
数学分析
复合材料
有机化学
生物化学
化学
作者
Chao Zuo,Shijie Feng,Lei Huang,Tianyang Tao,Wei Yin,Qian Chen
标识
DOI:10.1016/j.optlaseng.2018.04.019
摘要
The principle of structured light and triangulation is used in a wide range of 3D optical metrology applications, such as mechanical engineering, industrial monitoring, computer vision, and biomedicine. Among a multitude of techniques based on this principle, phase shifting profilometry (PSP) plays a dominant role due to its high attainable measurement accuracy, spatial resolution, and data density. Over the past few decades, many PSP algorithms have been proposed in the literature in order to achieve higher measurement accuracy, lower pattern count, and/or better robustness to different error sources. Besides, many unconventional PSP codification techniques address the problem of absolute phase recovery with few projected patterns, allowing for high-efficiency measurement of objects containing isolated regions or surface discontinuities. In this paper, we present an overview of these state-of-the-art phase shifting algorithms for implementing 3D surface profilometry. Typical error sources in phase measurement for a phase shifting system are discussed, and corresponding solutions are reviewed. The advantages and drawbacks of different PSP algorithms are also summarized to provide a useful guide to the selection of the most appropriate phase shifting technique for a particular application.
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