Yu Meng, Manchao Bao, Tao Yue, Xuemei Hu. Meta Light Field Event Imaging System (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(16): 1611009
- Laser & Optoelectronics Progress
- Vol. 61, Issue 16, 1611009 (2024)
Fig. 1. General view of meta light-field event imaging system
Fig. 2. Aggregation diagram of geometrical multi-perspective weighted event
Fig. 3. Event queue manager algorithm
Fig. 4. Event queue manager algorithm flow
Fig. 5. Schematic diagram of simulation scenes. (a) Pedestrian scene; (b) light field imaging result of pedestrian scene; (c) ball drop scene; (d) light field imaging result of ball drop scene
Fig. 6. Simulation scenes and reconstruction results. (a) Ball slip and (b) pedestrian; meta light field event reconstruction results of (c) ball slip and (d) pedestrian
Fig. 7. Hardware system view of meta light field event camera. (a) Side view of hardware system and corresponding components;(b) micro-lens placed after main lens.
Fig. 8. Deniosing results of different methods. (a) Original event data; (b) Ynoise filter; (c) Knoise filter; (d) proposed method
Fig. 9. Results of proposed method of removing manually added noise events.Results after (a) adding 300 noise events and (b) results after processing with proposed method; results after (c) adding 2000 noise events and (d) results after processing with proposed method
Fig. 10. Reconstruction result of proposed method. (a) Imaging scheme; (b) reconstruction results with different numbers
Fig. 11. Results of multi-view perception of scene by meta light-field event imaging system. (a) Intensity frame; (b) accumulation frame
Fig. 12. Image of two balls thrown at different distances. (a) Experimental setup of motion tracking; (b) results of motion trajectory
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Table 1. Processing parameters for simulation data
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Table 2. Error analysis of simulation test
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Table 3. Processing parameters for real data
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Table 4. Denoising results of proposed method
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