Spectral analysis of re-parameterized light fields
This incremental work addresses sampling efficiency for light fields, potentially benefiting applications like view synthesis or compact representation.
The paper tackled the problem of sampling re-parameterized light fields by analyzing spectral properties with a tilted image plane, showing that more flexible sampling guidelines, such as wider camera baselines, can be used when adapting the image plane orientation to scene geometry.
In this paper, we study the spectral properties of re-parameterized light field. Following previous studies of the light field spectrum, which notably provided sampling guidelines, we focus on the two plane parameterization of the light field. However, we introduce additional flexibility by allowing the image plane to be tilted and not only parallel. A formal theoretical analysis is first presented, which shows that more flexible sampling guidelines (i.e. wider camera baselines) can be used to sample the light field when adapting the image plane orientation to the scene geometry. We then present our simulations and results to support these theoretical findings. While the work introduced in this paper is mostly theoretical, we believe these new findings open exciting avenues for more practical application of light fields, such as view synthesis or compact representation.