Joint Geometry and Color Projection-based Point Cloud Quality Metric

Understand

Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios.

• The design and assessment of point cloud coding methods require reliable objective quality metrics to evaluate the level of degradation introduced by compression or any other type of processing.
• Several point cloud objective quality metrics has been recently proposed to reliable estimate human perceived quality, including the so-called projection-based metrics.
• In this context, this paper proposes a joint geometry and color projection-based point cloud objective quality metric which solves the critical weakness of this type of quality metrics, i.e., the misalignment between the reference and degraded projected images.