Abstract
Ray tracing is an interesting rendering technique, but remains too slow for real-time applications. There are various algorithmic methods to speed up ray tracing through uneven screen-space sampling, e.g., foveated rendering where sampling is directed by eye tracking. Uneven sampling methods tend to require at least one sample per pixel, limiting their use in real-time rendering. We review recent work on image reconstruction from arbitrarily distributed samples, and argue that these will play major role in the future of real-time ray tracing, allowing a larger fraction of samples to be focused on regions of interest. Potential implementation approaches and challenges are discussed.
| Original language | English |
|---|---|
| Title of host publication | VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
| Publisher | SCITEPRESS |
| Pages | 295-302 |
| Number of pages | 8 |
| Volume | 1 |
| ISBN (Electronic) | 9789897582875 |
| DOIs | |
| Publication status | Published - 2018 |
| Publication type | A4 Article in conference proceedings |
| Event | INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS - Duration: 1 Jan 1900 → … |
Conference
| Conference | INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS |
|---|---|
| Period | 1/01/00 → … |
Keywords
- Image reconstruction
- Ray tracing
- Sparse sampling
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
- Artificial Intelligence
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