Tereshin, A., Pasko, A., Fryazinov, O. and Adzhiev, V., 2020. Hybrid Function Representation for Heterogeneous Objects. arXiv (2012.15176v1 [cs.GR]).
Full text available as:
|
PDF (arXiv preprint)
2012.15176v1.pdf - Published Version 2MB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Official URL: https://arxiv.org/abs/2012.15176
Abstract
Heterogeneous object modelling is an emerging area where geometric shapes are considered in concert with their internal physically-based attributes. This paper describes a novel theoretical and practical framework for modelling volumetric heterogeneous objects on the basis of a novel unifying functionally-based hybrid representation called HFRep. This new representation allows for obtaining a continuous smooth distance field in Euclidean space and preserves the advantages of the conventional representations based on scalar fields of different kinds without their drawbacks. We systematically describe the mathematical and algorithmic basics of HFRep. The steps of the basic algorithm are presented in detail for both geometry and attributes. To solve some problematic issues, we have suggested several practical solutions, including a new algorithm for solving the eikonal equation on hierarchical grids. Finally, we show the practicality of the approach by modelling several representative heterogeneous objects, including those of a time-variant nature.
Item Type: | Article |
---|---|
ISSN: | 1524-0703 |
Uncontrolled Keywords: | cs.GR ; cs.GR ; I.3.5; I.3.0 |
Group: | Faculty of Media & Communication |
ID Code: | 35314 |
Deposited By: | Symplectic RT2 |
Deposited On: | 23 Mar 2021 11:47 |
Last Modified: | 14 Mar 2022 14:26 |
Downloads
Downloads per month over past year
Repository Staff Only - |