Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second
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 fo...
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sg-ntu-dr.10356-1417532020-06-10T07:41:58Z Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second Zuo, Chao Tao, Tianyang Feng, Shijie Huang, Lei Asundi, Anand Chen, Qian School of Mechanical and Aerospace Engineering Centre for Optical and Laser Engineering Physics - Instrumentation and Detectors Physics - Instrumentation and Detectors Computer Science - Computer Vision and Pattern Recognition Physics - Optics Engineering::Mechanical engineering Fringe Projection Profilometry Micro Fourier Transform Profilometry 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. 2020-06-10T07:41:58Z 2020-06-10T07:41:58Z 2017 Journal Article 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 0143-8166 https://hdl.handle.net/10356/141753 10.1016/j.optlaseng.2017.10.013 2-s2.0-85032446350 102 70 91 en Optics and Lasers in Engineering © 2017 Elsevier Ltd. All rights reserved. |
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Physics - Instrumentation and Detectors Physics - Instrumentation and Detectors Computer Science - Computer Vision and Pattern Recognition Physics - Optics Engineering::Mechanical engineering Fringe Projection Profilometry Micro Fourier Transform Profilometry |
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Physics - Instrumentation and Detectors Physics - Instrumentation and Detectors Computer Science - Computer Vision and Pattern Recognition Physics - Optics Engineering::Mechanical engineering Fringe Projection Profilometry Micro Fourier Transform Profilometry Zuo, Chao Tao, Tianyang Feng, Shijie Huang, Lei Asundi, Anand Chen, Qian Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second |
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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. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Zuo, Chao Tao, Tianyang Feng, Shijie Huang, Lei Asundi, Anand Chen, Qian |
format |
Article |
author |
Zuo, Chao Tao, Tianyang Feng, Shijie Huang, Lei Asundi, Anand Chen, Qian |
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Zuo, Chao |
title |
Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second |
title_short |
Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second |
title_full |
Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second |
title_fullStr |
Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second |
title_full_unstemmed |
Micro fourier transform profilometry ($μ$FTP) : 3D shape measurement at 10,000 frames per second |
title_sort |
micro fourier transform profilometry ($μ$ftp) : 3d shape measurement at 10,000 frames per second |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/141753 |
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1681057486896889856 |