A Study on Compressed Sensing of Ray-Space Data

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In this research, we proposed a new compressive sensing method of Ray-Space in circular camera array. The compressive sensing utilizes special characteristics of Ray-Space that transformed data has sparse data structure. As the first step, we defined a new transform and inverse transform method between Ray-space and a new domain, where the amount of information can be efficiently reduced. We used an integral transform using the feature of Ray-space in polar coordinate system. We solved the problem of high computation cost by introducing successive approximation. In the experiment, we reduced low-frequency components of transformed data in the domain defined above, and confirmed that the original Ray-space data can be reconstructed with small error.