Image-Based Rendering is the task of generating novel views from existing images. Given a set of images showing a scene from different view-points, the main focus is to compute images for new view-points. In this thesis different new methods to solve this problem are presented.
These methods are designed to full special goals such as scalability and interactive rendering performance. First, the theory of the Plenoptic Function is introduced as the mathematical foundation of image formation. Then a new taxonomy is introduced to categorise existing methods and an extensive overview of known...