3D Point Cloud Transmission and Visualization

Abstract

The need for increasingly high resolution 3D models and the cost in processing high resolution polygonal meshes have made 3D point clouds an alternative for many researchers in recent years. Considerable research has been devoted to various areas of point clouds. This thesis presents three studies on point cloud transmission, visualization respectively. The first study designs a metric to evaluate each layer's quality contribution to the decoding result of the progressively compressed 3D point-based model. With this metric, the rendering quality of a reconstructed 3D model degrades more gracefully as the packet-loss rate increases. The second study proposes a new method for incorporating 3D point cloud models into multi-viewpoint video. With this method, 3D point clouds can be seamlessly inserted into a multi-viewpoint video and a realistic effect can be obtained. The third study presents a hierarchical RBF based approach to interactively visualize 3D point cloud. This aids users to achieve better resolution in a Region of Interest(ROI) without having to transmit and render the entire object in high detail.