Coarse to Fine Rate Control For Region-Based 3D Point Cloud Compression
Qi Liu, Hui Yuan, Raouf Hamzaoui, Honglei Su
Abstract
We modify the video-based point cloud compression standard (V-PCC) by mapping the patches to seven regions and encoding the geometry and color video sequences of each region. We then propose a coarse to fine rate control algorithm for this scheme. The algorithm consists of two major steps. First, we allocate the target bitrate between the geometry and color information. Then, we optimize in turn the geometry and color quantization steps for the video sequences of each region using analytical models for the rate and distortion. Experimental results for eight point clouds showed that the average percent bitrate error of our algorithm is only 3.7%, and its perceptual reconstruction quality is better than that of V-PCC.