Dynamic polygon cloud compression

We introduce a compressible representation of 3D geometry (including its attributes, such as color texture) intermediate between polygonal meshes and point clouds called a polygon cloud. Polygon clouds, compared to polygonal meshes, are more robust to live capture noise and artifacts. Furthermore, dynamic polygon clouds, compared to dynamic point clouds, are easier to compress, if certain challenges are addressed. In this paper, we propose methods for compressing dynamic polygon clouds using transform coding of color and motion residuals. We find that, compared to static polygon clouds and a fortiori static point clouds, dynamic polygon clouds can improve color compression by up to 2-3 dB in fidelity, and can improve geometry compression up to a factor of 2-5 in bit rate.