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DC Field | Value | Language |
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dc.contributor.author | De Barro, Adrian | - |
dc.contributor.author | Bugeja, Keith | - |
dc.contributor.author | Spina, Sandro | - |
dc.contributor.author | Magro, Mark | - |
dc.contributor.author | Napoli, Kevin | - |
dc.date.accessioned | 2023-02-23T06:44:58Z | - |
dc.date.available | 2023-02-23T06:44:58Z | - |
dc.date.issued | 2022 | - |
dc.identifier.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. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/106709 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Caustics (Optics) | en_GB |
dc.subject | Photons | en_GB |
dc.subject | Computer algorithms | en_GB |
dc.title | A lightweight photon tracing method for visualising caustics | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) | en_GB |
dc.bibliographicCitation.conferenceplace | Virtual conference. 06-08/02/2022. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.5220/0010833900003124 | - |
Appears in Collections: | Scholarly Works - FacICTCS |
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A_lightweight_photon_tracing_method_for_visualising_caustics_2022.pdf Restricted Access | 6.25 MB | Adobe PDF | View/Open Request a copy |
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