On generalized sampling for image-based rendering data

Abstract

In this paper, we apply generalized sampling to image-based rendering (IBR) data, more specifically, the light-field. We show that in theory the lowest sampling rate of lightfield when we use generalized sampling can be as low as half of that when we use rectangular sampling. However, in practice rectangular sampling has several advantages over generalized sampling. We analyze the pros and cons for each sampling approach, and explain why in practice rectangular sampling is still more preferable.