Wijnja, Wiebe-Marten (2020) In by Out Again — Arbitrarily-Deep Zooming on Iterated Function Systems by 'Self-Similarity Jumping'. Bachelor's Thesis, Computing Science.
|
Text
bCS_2019_WijnjaWM.pdf Download (1MB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
toestemming.pdf Restricted to Registered users only Download (96kB) |
Abstract
Iterated Function Systems (IFSs) are a mathematical concept which, amongst other uses, is used for rendering fractals that sees wide usage in the modeling of physical phenomena, image compression, and the creation of abstract art. When exploring an IFS interactively, current IFS rendering techniques require a full re-approximation of the IFS’s attractor at every frame. This thesis proposes a combination of two techniques to enable faster exploring of IFSs. First, a point cloud is used as an intermediate attractor approximation, that can be re-used between animation frames.Secondly, a technique coined ’self-similarity jumping’ is proposed to keep the attractor representation detailed, even when zooming in very far. A proof-of-concept computer program has been implemented which shows that the employed techniques,while promising, are somewhat restricted in their usefullness because self-similarity jumping cannot be used in all situations.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Kosinka, J. and Hettinga, G.J. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 31 Aug 2020 07:49 |
| Last Modified: | 31 Aug 2020 07:49 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/23277 |
Actions (login required)
 |
View Item |