3-D Geometry Compression using Multiscale Plane Based Representation and Zerotree Based Coding

In this paper, we present a novel geometry compression scheme for compactly representing 3-D sampled data. The proposed framework is based on the octree structured multiscale geometry representation, where local surface is expressed by multiscale plane descriptions. To reduce planar redundancy between different scale plane approximations in the multiscale pyramid, the multiscale plane pyramid is decomposed and the resulting refinement pyramid is encoded using the zerotree based coding method. The decomposition captures the geometry innovation to refine coarse geometry. Moreover, the zerotree based coding method offers the ordered bitstream according to the contribution for reconstructing the geometry innovation. Therefore, we demonstrate that the proposed algorithm compactly represents the 3-D point samples yielding progressive refinement of the surface geometry.