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Title: Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second
Authors: Zuo, Chao
Tao, Tianyang
Feng, Shijie
Huang, Lei
Asundi, Anand
Chen, Qian
Keywords: Physics - Instrumentation and Detectors
Physics - Instrumentation and Detectors
Computer Science - Computer Vision and Pattern Recognition
Physics - Optics
Engineering::Mechanical engineering
Issue Date: 2017
Source: Zuo, C., Tao, T., Feng, S., Huang, L., Asundi, A., & Chen, Q. (2017). Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second. Optics and Lasers in Engineering, 102, 70-91. doi:10.1016/j.optlaseng.2017.10.013
Journal: Optics and Lasers in Engineering
Abstract: Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with improved resolution and accuracy. However, due to the large number of projection patterns required for phase recovery and disambiguation, the maximum fame rates of current 3D shape measurement techniques are still limited to the range of hundreds of frames per second (fps). Here, we demonstrate a new 3D dynamic imaging technique, Micro Fourier Transform Profilometry ($\mu$FTP), which can capture 3D surfaces of transient events at up to 10,000 fps based on our newly developed high-speed fringe projection system. Compared with existing techniques, $\mu$FTP has the prominent advantage of recovering an accurate, unambiguous, and dense 3D point cloud with only two projected patterns. Furthermore, the phase information is encoded within a single high-frequency fringe image, thereby allowing motion-artifact-free reconstruction of transient events with temporal resolution of 50 microseconds. To show $\mu$FTP's broad utility, we use it to reconstruct 3D videos of 4 transient scenes: vibrating cantilevers, rotating fan blades, bullet fired from a toy gun, and balloon's explosion triggered by a flying dart, which were previously difficult or even unable to be captured with conventional approaches.
ISSN: 0143-8166
DOI: 10.1016/j.optlaseng.2017.10.013
Rights: © 2017 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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