Conghe Wang, Yutong He, Xia Wang, Honghao Huang, Changda Yan, Xin Zhang, Hongwei Chen. Passive non-line-of-sight imaging for moving targets with an event camera[J]. Chinese Optics Letters, 2023, 21(6): 061103
- Chinese Optics Letters
- Vol. 21, Issue 6, 061103 (2023)
Fig. 1. Schematic of events excitation with changes in brightness at pixel level. The red arrow stands for a fired positive event, while the green arrow stands for the negative one.
Fig. 2. Representations of event-based data.
Fig. 3. Discrimination function of fired event.
Fig. 4. Flow chart of event-embedded passive NLOS imaging.
Fig. 5. Experimental setup. (a) Basic principle of our NLOS scene; (b) experimental settings; the self-luminous target is a video with moving digits.
Fig. 6. (a) Part of the reconstruction results for the PRINT test set in both EM-NLOS and FM-NLOS; (b) part of the reconstruction results for the MNIST test set in both EM-NLOS and FM-NLOS.
Fig. 7. Reconstructions of NLOS moving target at different positions through the E method and the F method. Six different positions of digit 7 (MNIST test set) and digit 3 (PRINT test set) are displayed as examples. The Cd value (pixel) is labeled at the corner of each frame.
Fig. 8. Cd value of NLOS reconstructions at different positions. (a), (b) are the Cd values of reconstructions shown in Fig. 7 (digit 7 and digit 3, respectively).
Fig. 9. Evaluation metrics LPIPS and PSNR for reconstructions of digit 7 (MNIST test) and digit 3 (PRINT test) at 10 different positions, respectively. The full line denotes the E method, while the dotted line denotes frame-based ones.
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Table 1. Evaluation Metrics of Results with E Method and F Methoda
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