资源论文Frequency-Space Decomposition and Acquisition of Light Transport under Spatially Varying Illumination

Frequency-Space Decomposition and Acquisition of Light Transport under Spatially Varying Illumination

2020-04-02 | |  111 |   51 |   0

Abstract

We show that, under spatially varying illumination, the light transport of diffuse scenes can be decomposed into direct, near-range (subsurface scattering and local inter-reflections) and far-range trans- ports (diffuse inter-reflections). We show that these three component transports are redundant either in the spatial or the frequency domain and can be separated using appropriate illumination patterns. We pro- pose a novel, efficient method to sequentially separate and acquire the component transports. First, we acquire the direct transport by extend- ing the direct-global separation technique from floodlit images to full transport matrices. Next, we separate and acquire the near-range trans- port by illuminating patterns sampled uniformly in the frequency do- main. Finally, we acquire the far-range transport by illuminating low- frequency patterns. We show that theoretically, our acquisition method achieves the lower bound our model places on the required number of patterns. We quantify the savings in number of patterns over the brute force approach. We validate our observations and acquisition method with rendered and real examples throughout.

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