A method for calculating the minimum number of cameras in a light field based free viewpoint video system
Calculation of the number of cameras required to capture the scene is an essential problem in a practical light field based free viewpoint video (FVV) system. Existing methods calculate the Nyquist rate by assuming a band-limited signal and perfect reconstruction of an arbitrary view using linear interpolation, which often results in an impractically high number of cameras. This paper proposes a new method based on the concept of effective sampling density (ESD). It is demonstrated that there is a trade-off between the depth information accuracy, the required number of cameras, and the desired rendering quality, which could be exploited to minimize the number of cameras for a given objective. Theoretical and numerical results show that the resulting number of cameras is significantly lower than what was reported in other studies with only a few percent reduction in the output PSNR. Moreover, it is shown that the methods proposed in those studies are special cases of the one presented in this paper.
H. Shidanshidi, F. Safaei & W. Li, "A method for calculating the minimum number of cameras in a light field based free viewpoint video system," in IEEE International Conference on Multimedia and Expo (ICME 2013), 2013, pp. 1-6.