Scene sampling for the concentric mosaics technique [virtual reality]

Abstract

Sufficient sampling for scene representation is an important topic in Image-Based Rendering (IBR). It determines both the rendered image quality and the quantity of image data that must be recorded, and it depends on the method by which the image samples are taken. The Concentric Mosaics technique is one way to get image samples of a scene, to which the sampling theory of the plenoptic function is applied in this paper to determine the required number of image samples at the different lengths of the rotation beam. The general spectral filtering model of image based rendering techniques is analyzed based on the Concentric Mosaics technique to provide a frequency domain interpretation. Simulations on both a numerical design example for a typical scene and the illustration of the different rendered image qualities with different number of image samples per rotation circle are provided.