Image-assisted geometry simplification for the plenoptic sampling

Abstract

In this paper, a new method is proposed to generate image-assisted geometry simplification for estimating minimum sampling rate of image-based rendering (IBR). If some geometry information (e.g., the shape of object surface and proxy geometry) on a scene is known, we can decompose the scene geometry into a collection of simpler structures on a block-by-block basis. Our framework predicts the characteristics of simpler structure such as irregular object. Predictions on the frequency content can then be used to control sampling rates for IBR. The new method allows the sampling of the IBR to be analyzed and estimated for the non-uniform sampling. Furthermore, the minimum sampling rate of the IBR necessary for alias-free rendering will be reduced as the number of simpler structures increases.