Disocclusion-Reducing Geometry for Multiple RGB-D Video Streams

Depth-image-based rendering (DIBR) is a key method for synthesizing virtual views from multiple RGB-D video streams. A challenging issue inherent in this approach is the disocclusion that occurs as the virtual viewpoint moves away from a reference view. In this work, we present a technique for extracting 3D geometric data, called the disocclusion-reducing geometry, from the input video streams. This auxiliary information, represented as a 3D point cloud, can then be combined easily with a conventional DIBR pipeline to reduce the disoccluded region as much as possible during the view warping process, eventually decreasing the visual artifacts by the subsequent hole-filling process.