Survey of Inter‐Prediction Methods for Time‐Varying Mesh Compression
Loading...
Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
Abstract
Time‐varying meshes (TVMs), that is mesh sequences with varying connectivity, are a greatly versatile representation of shapes evolving in time, as they allow a surface topology to change or details to appear or disappear at any time during the sequence. This, however, comes at the cost of large storage size. Since 2003, there have been attempts to compress such data efficiently. While the problem may seem trivial at first sight, considering the strong temporal coherence of shapes represented by the individual frames, it turns out that the varying connectivity and the absence of implicit correspondence information that stems from it makes it rather difficult to exploit the redundancies present in the data. Therefore, efficient and general TVM compression is still considered an open problem. We describe and categorize existing approaches while pointing out the current challenges in the field and hint at some related techniques that might be helpful in addressing them. We also provide an overview of the reported performance of the discussed methods and a list of datasets that are publicly available for experiments. Finally, we also discuss potential future trends in the field.
Description
@article{10.1111:cgf.15278,
journal = {Computer Graphics Forum},
title = {{Survey of Inter‐Prediction Methods for Time‐Varying Mesh Compression}},
author = {Dvořák, Jan and Hácha, Filip and Arvanitis, Gerasimos and Podgorelec, David and Moustakas, Konstantinos and Váša, Libor},
year = {2025},
publisher = {Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.15278}
}