A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences. (arXiv:2206.05054v2 [eess.IV] UPDATED)

Point cloud is one of the most widely used digital formats of 3D models, the
visual quality of which is quite sensitive to distortions such as downsampling,
noise, and compression. To tackle the challenge of point cloud quality
assessment (PCQA) in scenarios where reference is not available, we propose a
no-reference quality assessment metric for colored point cloud based on
captured video sequences. Specifically, three video sequences are obtained by
rotating the camera around the point cloud through three specific …

arxiv cloud quality reference video