Hybrid compression of dynamic 3D mesh data

Geometric representation of objects and surfaces in terms of 3D meshes is becoming increasingly important in a variety of applications. As the amount of data in this format increases, the problem of compression becomes vital for the further development of the field. In this paper we present a codec for dynamic 3D mesh data that utilizes the “hybrid” framework from video coding, built upon temporal prediction and spatial transform. We discuss various features of the codec, including unrestricted quantization and two-stage entropy coding, and investigate its compression efficiency on a variety of test material. A discussion of various prediction structures and their impact on error resilience is also provided.