A Dynamic Point Cloud Dataset for MPEG Point Cloud Compression and Performance Analysis

Recent years witnessed the development in MPEG point cloud compression (PCC). However, the exploration of inter-frame coding may be impeded due to the lack of dynamic point clouds (point cloud sequences). To promote the development of PCC technology, we propose Dynamic3D , a dynamic 3D point cloud dataset with high-quality real-captured 3D persons and objects. There are several appealing properties: 1) Dynamic scenes: It contains five sequences and each sequence comprises 600 frames with temporal variation; 2) Complex content: instead of a single person or object in the existing dataset from MPEG, our established dataset contains multiple persons or both person and objects; 3) Realistic capture: the color industrial cameras and infrared cameras are used for data acquisition. This dataset provides the vast exploration space for PCC, especially the elimination of temporal redundancy. Extensive simulations are conducted on this dataset by using the reference software of MPEG G-PCC and V-PCC, i.e., (GeS-TM and TMC2), delivering observations, analysis and opportunities for the future research of PCC.