In image-based rendering, images acquired from a scene are used to
represent the scene itself. A number of reference images are required
to fully represent even the simplest scene. This leads to a number of
problems during image acquisition and subsequent reconstruction. We
present the multiple-center-of-projection image, a single image
acquired from multiple locations, which solves many of the problems of
working with multiple range images.
This work develops and discusses multiple-center-of-projection images,
and explains their advantages over conventional range images for
image-based rendering. The contributions include greater flexibility
during image acquisition and improved image reconstruction due to
greater connectivity information. We discuss the acquisition and
rendering of multiple-center-of-projection datasets, and the
associated sampling issues. We also discuss the unique epipolar and
correspondence properties of this class of image.