Panoramic Volumes for Robot Localization

We propose a method for visual robot localization using a panoramic image volume as the representation from which we can generate views from virtual viewpoints and match them to the current view. We use a geometric image-based rendering formalism in combination with a subspace representation of images, which allows us to synthesize views at arbitrary virtual viewpoints from a compact low-dimensional representation.