A novel compression framework for 3D time-varying meshes

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 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.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2161-2164
Number of pages4
ISBN (Print)9781479934324
DOIs
Publication statusPublished - Jun 2014
Externally publishedYes
Event2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia
Duration: 1 Jun 20145 Jun 2014

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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