Non-line-of-sight location is an active detection technology which is used to detect the position of objects out of sight by extracting the time of flight. It is a research hotspot in recent years. In order to study the performance differences of mean filter, median filter and Gaussian filter in extracting time of flight, firstly, the energy changing model of photon flight model is optimized by photometry, and then the parameters of the three filtering methods are optimized and analyzed. After that, the adaptability of these three extraction methods to the maximum value judgment method and probability threshold weighted judgment method is analyzed. Finally, the accuracy and stability of these three time extraction algorithms are compared by using the positions of devices and invisible object as variables. The simulation results show that the median filter is suitable for a narrow environment and it has the high accuracy in positioning; the locations with Gaussian filter have good positioning stability and there is a wider selection range of filtering parameters when the signal is processed with Gaussian filter.
Home > Journal Home > Opto-Electronic Engineering
Opto-Electronic Engineering
ISSN: 1003-501X
CN: 51-1346/O4
Monthly, included in CA, Scopus, CSCD
CN: 51-1346/O4
Monthly, included in CA, Scopus, CSCD
A comparative study of time of flight extraction methods in non-line-of-sight location
Author Affiliations

First published at:Jan 15, 2021
Abstract
References
[1] Velten A, Willwacher T, Gupta O, et al. Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging[J]. Nat Commun, 2012, 3: 745.
[2] Laurenzis M, Velten A. Nonline-of-sight laser gated viewing of scattered photons[J]. Opt Eng, 2014, 53(2): 023102.
[3] Laurenzis M, Velten A. Feature selection and back-projection algorithms for nonline-of-sight laser–gated viewing[J]. J Electron Imaging, 2014, 23(6): 063003.
[4] Buttafava M, Zeman J, Tosi A, et al. Non-line-of-sight imaging using a time-gated single photon avalanche diode[J]. Opt Express, 2015, 23(16): 20997–21011.
[5] Arellano V, Gutierrez D, Jarabo A. Fast back-projection for non-line of sight reconstruction[J]. Opt Express, 2017, 25(10): 11574–11583.
[6] Jin C F, Xie J H, Zhang S Q, et al. Reconstruction of multiple non-line-of-sight objects using back projection based on ellipsoid mode decomposition[J]. Opt Express, 2018, 26(16): 20089–20101.
[7] Klein J, Peters C, Martín J, et al. Tracking objects outside the line of sight using 2D intensity images[J]. Sci Rep, 2016, 6(1): 32491.
[8] O'Toole M, Lindell D B, Wetzstein G. Confocal non-line-of-sight imaging based on the light-cone transform[J]. Nature, 2018, 555(7696): 338–341.
[9] Xin S M, Nousias S, Kutulakos K N, et al. A theory of Fermat paths for non-line-of-sight shape reconstruction[C]//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019: 6800–6809.
[10] Liu X C, Guillén I, La Manna M, et al. Non-line-of-sight imaging using phasor-field virtual wave optics[J]. Nature, 2019, 572(7771): 620–623.
[11] Gariepy G, Tonolini F, Henderson R, et al. Detection and tracking of moving objects hidden from view[J]. Nat Photonics, 2016, 10(1): 23–26.
[12] Chan S S, Warburton R E, Gariepy G, et al. Non-line-of-sight tracking of people at long range[J]. Opt Express, 2017, 25(9): 10109–10117.
Funds:
The Youth Innovation Promotion Association, CAS (2017428,2018411), State Key Laboratory of Pulsed Power Laser Technology(SKL2018KF05), and Excellent Youth Foundation of Sichuan Scientific Committee(2019JDJQ0012)
Export Citations as:
For
Get Citation:
Ren Yu, Luo Yihan, Xu Shaoxiong, et al. A comparative study of time of flight extraction methods in non-line-of-sight location[J]. Opto-Electronic Engineering, 2021, 48(1): 200124.