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arXiv (Cornell University)
Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform
October 2017 • Yiting Shao, Zhaobin Zhang, Zhu Li, Kui Fan, Ge Li
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 opera…
Point Cloud
Computer Science
Distortion (Music)
Algorithm
Lossy Compression
Theoretical Computer Science
Mathematics
Artificial Intelligence
Geometry
Amplifier