The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image.
Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, etc.)
The fundamental concept behind IBMR is the plenoptic illumination function which is a parametrisation of the light field.
IBMR methods try to approximate the plenoptic function to render a novel set of two-dimensional images from another.
Given the high dimensionality of this function, practical methods place constraints on the parameters in order to reduce this number (typically to 2 to 4).