Dictionary-based light field acquisition using sparse camera array

We propose a dictionary-based dense light field acquisition technique. This technique captures light field successfully from a sparse camera array with no mask or any other optical modifications on cameras. Light rays in wider field are captured by our system to achieve larger disparity and higher angular resolution. We also accelerate the reconstruction of light field significantly by a local sliding window which applies median filter only in disaster areas and acquire satisfactory quality. In our experiments, light field with 7x7 views at resolution of 384x512 is restored from 5 cameras with PSNR of 33.0192dB with a computing time of 1.85 hours on a consumer-grade desktop computer. (C) 2014 Optical Society of America