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

Authors :
Gao, Yuan
Wang, Zhiqiang
Wen, Jin
Source :
Electronics (2079-9292); Aug2023, Vol. 12 Issue 16, p3473, 22p
Publication Year :
2023

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20799292
Volume :
12
Issue :
16
Database :
Complementary Index
Journal :
Electronics (2079-9292)
Publication Type :
Academic Journal
Accession number :
170738092
Full Text :
https://doi.org/10.3390/electronics12163473