Infrared and Laser Engineering, Volume. 49, Issue 6, 20200023(2020)
Multi-stage deep learning based single-frame fringe projection 3D measurement method
[4] Jianhua Wang, Yanxi Yang. Double N-step phase-shifting profilometry using color-encoded grating projection. Chinese Optics, 12, 616-627(2019).
[5] Yalong Zhao, Shouqi Liu, Qican Zhang. 3D shape measurement accelerated by GPU. Infrared and Laser Engineering, 47, 0317003(2018).
[9] [9] Yu Haotian, Chen XiaoyuX, Zhang Zhao, et al. Dynamic 3D measurement based on fringetofringe transfmation using deep learning[EBOL]. [20191230]. https:arxiv.gabs1906.05652.
[11] [11] Yin Wei, Chen Qian, Feng Shijie, et al. Tempal phase unwrapping using deep learning[EBOL]. [2019528]. https:arxiv.gabs1903.09836.
[12] [12] Nguyen H, Li Hui, Qiu Qiang, et al. Singleshot 3d shape reconstruction using deep convolutional neural wks[EBOL]. [2019917]. https:arxiv.gabs1909.07766.
[14] [14] Chen LiangChieh, Zhu Yukun, Gege Papreou, et al. Encoderdecoder with atrous separable convolution f semantic image segmentation[EBOL]. [2018822]. https:arxiv.gabs1802.02611.
[16] [16] Zhang Chen, Li Peng, Sun Guangyu, et al. Optimizing FPGAbased accelerat design f deep convolutional neural wks[C]Proceedings of the 2015 ACMSIGDA International Symposium on FieldProgrammable Gate Arrays. ACM, 2015: 161170.
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Zhao Zhang, Bowen Han, Haotian Yu, Yi Zhang, Dongliang Zheng, Jing Han. Multi-stage deep learning based single-frame fringe projection 3D measurement method[J]. Infrared and Laser Engineering, 2020, 49(6): 20200023
Category: Special issue-Optical 3D imaging and sensing
Received: Mar. 19, 2020
Accepted: --
Published Online: Aug. 19, 2020
The Author Email: Han Jing (eohj@njust.edu.cn)