轮廓仪
计算机科学
计算机视觉
光学
运动(物理)
人工智能
光流
相(物质)
像素
物理
材料科学
图像(数学)
表面光洁度
量子力学
复合材料
作者
Yifan Guo,Feipeng Da,Yi Yu
出处
期刊:Optical Engineering
[SPIE - International Society for Optical Engineering]
日期:2018-10-27
卷期号:57 (10): 1-1
被引量:8
标识
DOI:10.1117/1.oe.57.10.105105
摘要
Defocusing phase-shifting profilometry is now widely utilized in fast 3-D shape measurements for its high efficiency and accuracy. However, motion-induced ripples and phase unwrapping errors can still be observed while the object measured is moving. An efficient motion-compensated defocusing phase-shifting profilometry, which accurately estimates the motion-induced shifts regarding each pixel, both on the image plane and the phase map, to reduce the artifacts occurring in the dynamic scenes, is proposed. The phase error is analyzed by N-step phase-shifting theory, and with the help of optical flow method and five-step phase-shifting method; this error can be processed according to the motion information obtained. The phase unwrapping errors are also fixed with the proposed motion-compensated algorithm. Compared with the traditional phase-shifting profilometry and state-of-the-art methods, our method demonstrates competitive performance on dynamic objects.
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