Image based rendering with depth cameras: How many are needed?

摘要

Image based rendering is a technique for producing arbitrary viewpoints of a scene using multiple images instead of exact object models. The recent emergence of low-price, fast, and reliable cameras for measuring depth makes possible the augmentation of traditional color images with depth images. This combination promises to improve the rendering quality of an arbitrary viewpoint and thus have a great impact on IBR. A key issue is to understand, for any particular scene of interest, how many depth images and how many color images are necessary in order to obtain good rendering results. In this paper, using a framework akin to the plenoptic function, we perform a spectral analysis of multi-view depth images in order to determine the relationship between the number of depth and color images required. Our analysis is then validated using both synthetic and real images.