A Method for Generating Geometric Image Sequences for Non-Isomorphic 3D-Mesh Sequence Compression

Author:

Gao Yuan1,Wang Zhiqiang23ORCID,Wen Jin2

Affiliation:

1. Department of Electronics and Communications Engineering, Beijing Electronic Science and Technology Institute, Beijing 100070, China

2. Department of Cyberspace Security, Beijing Electronic Science and Technology Institute, Beijing 100070, China

3. State Information Center, Beijing 100045, China

Abstract

As virtual reality and 3D-modeling technology continue to advance, the amount of digital geometric media data is growing at an explosive rate. For example, 3D meshes, an important type of digital geometric media, can precisely record geometric information on a model’s surface. However, as the complexity and precision of 3D meshes increase, it becomes more challenging to store and transmit them. The traditional method of compressing non-isomorphic 3D-mesh sequences through frame-by-frame compression is inefficient and destroys the inter-frame correlations of the sequences. To tackle these issues, this study investigates the generation of time-dependent geometric image sequences for compressing non-isomorphic 3D-mesh sequences. Two methods are proposed for generating such sequences: one through image registration and the other through parametrization-geometry cooperative registration. Based on the experimental compression results of the video-coding algorithms, it was observed that the proposed geometric image-sequence-generation method offers superior objective and subjective qualities, as compared to the traditional method.

Funder

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation funded project

First-class Discipline Construction Project of Beijing Electronic Science and Technology Institute

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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