A novel compression framework for 3D time-varying meshes

Junhui Hou, Lap-Pui Chau, Ying He, Nadia Magnenat-Thalmann

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

16 Citations (Scopus)

Abstract

Compression of 3D time-varying meshes (TVMs) plays a critical role in the storage and transmission of 3D contents. In this paper, we propose a novel framework for compressing 3D TVMs. In our framework, 3D TVMs are parameterized and represented by the geometry videos (GVs) through polycube parameterization. By considering the low-rank characteristic of dynamic meshes, we decompose GVs into a sequence with small frames namely EigenGV and the computed reconstruction matrix. We further apply 2D video encoder to eliminate spatial and temporal redundancy among the EigenGV. Experimental results demonstrate that the proposed method significantly outperforms the existing compression schemes in terms of both the rate distortion performance and visual quality. Besides, the proposed method naturally achieves progressive form, which is very suitable for error prone channel transmission. © 2014 IEEE.
Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
Pages2161-2164
ISBN (Print)9781479934324
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014) - Melbourne, Australia
Duration: 1 Jun 20145 Jun 2014

Publication series

Name
ISSN (Print)0271-4310

Conference

Conference2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014)
Country/TerritoryAustralia
CityMelbourne
Period1/06/145/06/14

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