2017/10/10 by Yiting Shao, Zhaobin Zhang, Shao, Yiting +7 · 5 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Multimedia (cs.MM) #cs.MM
paper · pdf · doi:10.48550/arxiv.1710.03532
arxiv created 2017/10/10 · openalex publication_date 2017/10/10 · arxiv updated 2017/10/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
3D sensing and content capture have made significant progress in recent years and the MPEG standardization organization is launching a new project on immersive media with point cloud compression (PCC) as one key corner stone. In this work, we introduce a new binary tree based point cloud content partition and explore the graph signal processing tools, especially the graph transform with optimized Laplacian sparsity, to achieve better energy compaction and compression efficiency. The resulting rate-distortion operating points are convex-hull optimized over the existing Lagrangian solutions. Simulation results with the latest high quality point cloud content captured from the MPEG PCC demonstrated the transform efficiency and rate-distortion (R-D) optimal potential of the proposed solutions.