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NLOS imaging over 1.43km

This demo includes data and MATLAB codes used in the paper "Non-line-of-sight imaging over 1.43 kilometers" by Cheng Wu, Jianjiang Liu, Xin Huang, Zheng-Ping Li, Chao Yu, Jun-Tian Ye, Jun Zhang, Qiang Zhang, Xiankang Dou, Vivek K. Goyal, Feihu Xu, and Jian-Wei Pan (to appear in PNAS(2021)).

Corresponding author: [email protected].

To try the codes, just download the zip and run the "demo_NLOS_over_1400m.m" in MATLAB. Warning: the code was tested using MATLAB 2018a and 2018b, and it might be incompatible with older versions.

Attribution

Data

The experimental NLOS imaging data is obtained by our novel NLOS lidar system, including a letter 'H.mat' and a mannequin 'mannequin.mat'. Instructions for the experimental data:

  • 'sig_in': (type: 64 * 64 * 512 double), it contains the temporal distribution(histogram) of arrival photons at each pixel
  • 'timeRes': (type: double), it represents the time resolution of the time-digital-converter(TDC) (unit:s)
  • 'pulsewidth': (type: double), it represents the time jitter of the whole system (unit:s)
  • 'width': (type: double), it represents the width of scanning area

Code

Our algorithm is based on the following two papers:

O’Toole, Matthew, David B. Lindell, and Gordon Wetzstein. "Confocal non-line-of-sight imaging based on the light-cone transform." Nature 555.7696 (2018): 338-341.

Harmany, Zachary T., Roummel F. Marcia, and Rebecca M. Willett. "This is SPIRAL-TAP: Sparse Poisson intensity reconstruction algorithms—theory and practice." IEEE Transactions on Image Processing 21.3 (2011): 1084-1096.

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