Improved Video-Based Point Cloud Compression via Segmentation
Faranak Tohidi,
Manoranjan Paul,
Anwaar Ulhaq
et al.
Abstract:A point cloud is a representation of objects or scenes utilising unordered points comprising 3D positions and attributes. The ability of point clouds to mimic natural forms has gained significant attention from diverse applied fields, such as virtual reality and augmented reality. However, the point cloud, especially those representing dynamic scenes or objects in motion, must be compressed efficiently due to its huge data volume. The latest video-based point cloud compression (V-PCC) standard for dynamic poin… Show more
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