Adaptive Quality Control Method for a Room-Scale 6DoF Point Cloud Streaming and its Evaluation

6Degree of Freedom (6DoF) point cloud streaming is a promising technology for immersive communication. To achieve immersive communication, it is necessary to improve technologies at each phase, such as 3D tiling, 3D tile selection, and bitrate allocation to 3D tiles, and there is a need to integrate them. Researchers have proposed many methods for efficient point cloud streaming in each phase. However, many related studies remain limited to the improvement of individual technologies. In addition, they have not evaluated the case of 6DoF point cloud streaming using spatially larger scale (room-scale) point clouds. Therefore, we propose an efficient quality control method combining the three essential methods: adaptive 3D tiling, occlusion considering 3D tile selection, and distance-driven adaptive quality optimization. Furthermore, we propose quality control strategies by not only coordinating three technologies but also altering their integration method (i.e., changing the order of applying three methods). The proposed method enables various quality controls, such as data size minimization or quality maximization, according to requirements. In performance evaluations, we conduct experiments on Unity using an actual-scale digital room and compare performances of the proposed method against baseline methods. The results confirm that the proposed method improves perceptual quality or efficiently reduces the data size.