Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/106709
Title: A lightweight photon tracing method for visualising caustics
Authors: De Barro, Adrian
Bugeja, Keith
Spina, Sandro
Magro, Mark
Napoli, Kevin
Keywords: Caustics (Optics)
Photons
Computer algorithms
Issue Date: 2022
Citation: De Barro, A., Bugeja, K., Spina, S., Magro, M., & Napoli, K. (2022). A lightweight photon tracing method for visualising caustics. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP, Virtual. 188-195.
Abstract: In this paper we present a biased lightweight photon tracing method for the visualisation of caustics. The caustics volume bounds reflective and transmissive media and regulates the propagation of photons within these media. The volume uses partitioning and refinement to control tracing accuracy; this is modulated at runtime using a level-of-detail approach to improve performance without visible loss to accuracy. The system schedules traced photons for projections via a controllable number of face projectors tied to the volume. A straightforward splatting algorithm was implemented for this paper; however, more advanced splatting algorithms may be employed for improved visual quality.
URI: https://www.um.edu.mt/library/oar/handle/123456789/106709
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