关键词: 光场成像, 优化, 火焰辐射, 温度场, 重建

Abstract:

It is necessary to quickly and accurately reconstruct the three-dimensional flame temperature field by the multi-light field camera system. However, the sampling information collected by the light field camera is usually low-rank and most of them are redundant in direction. In this paper, a novel approach was proposed to optimize the sampling of the multi-light field camera system based on the feature rays selection. According to the distribution of ray and angle characteristics, the proposed approach performed rays selection to obtain representative feature rays, which reduced the light field sampling redundancy. The anti-noise ability and applicability of the proposed approach were evaluated through numerical simulations, and the ethylene diffusion bimodal flame temperature was reconstructed experimentally. Results showed that the proposed approach can be well applied in the multi-light field camera system. The optimized sampling not only reconstructed the flame temperature successfully even with different noise levels, but reduced reconstruction errors in partial voxels. The reconstruction time was shorter for the optimized sampling which was 1/14 of the original sampling. Meanwhile, the proposed approach also could reconstruct the ethylene diffusion bimodal flame temperature with high spatial and temporal resolution.

Key words: light field imaging, optimization, flame radiation, temperature field, reconstruction