A Trellis-based Approach for Robust View Synthesis

TR Image

View synthesis is an essential function for a number of 3D video applications including free-viewpoint navigation and view generation for auto-stereoscopic displays. Depth Image Based Rendering (DIBR) techniques are typically applied for this purpose. However, the quality of the rendered views is very sensitive to the quality of the depth image. In this paper, a novel trellis- based view synthesis framework is proposed to overcome the above limitations in depth images and reduce artifacts in the rendered picture. Our results demonstrate that the proposed approach offers visible improvements in rendering quality compared to existing view synthesis techniques.