Pattern-based 3D model compression
Kangying Cai, Wenfei Jiang, Tao Luo, Jiang Tian
Abstract
This paper presents an efficient method to 3D model compression based on repetition detection. The proposed Pattern-Based 3D Mesh Codec (PB3DMC) can achieve good rate-distortion performance on 3D models comprising multiple components. The repetition among constituent components is first exploited to generate a compact representation. An optimal bit allocation scheme is then proposed in order to compress the resultant "pattern-instances" representation. Experimental results show that PB3DMC yields a significant gain compared to the algorithms in MPEG's Scalable Complexity 3D Mesh Coding (SC3DMC) toolset, particularly for those models containing repetitive components. Furthermore, a benchmark for PB3DMC is built using 444 models. And PB3DMC is going to be published as an amendment of, MPEG-4 standard.
BibTeX
@inproceedings{icassp2016_patternbased3dmo,
title = {Pattern-based 3D model compression},
author = {Kangying Cai and Wenfei Jiang and Tao Luo and Jiang Tian},
booktitle = {ICASSP 2016},
year = {2016}
}