Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/106755
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dc.contributor.authorMagro, Mark-
dc.contributor.authorBugeja, Keith-
dc.contributor.authorSpina, Sandro-
dc.contributor.authorNapoli, Kevin-
dc.contributor.authorDe Barro, Adrian-
dc.date.accessioned2023-02-24T06:23:07Z-
dc.date.available2023-02-24T06:23:07Z-
dc.date.issued2020-
dc.identifier.citationMagro, M., Bugeja, K., Spina, S., Napoli, K., & De Barro, A. (2020). Atlas shrugged : device-agnostic radiance megatextures. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP, Malta. 255-262.en_GB
dc.identifier.isbn9789897584022-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/106755-
dc.description.abstractThis paper proposes a novel distributed rendering pipeline for highly responsive high-fidelity graphics based on the concept of device-agnostic radiance megatextures (DARM), a network-based out-of-core algorithm that circumvents VRAM limitations without sacrificing texture variety. After an automatic precomputation stage generates the sparse virtual texture layout for rigid bodies in the scene, the server end of the pipeline populates and updates surface radiance in the texture. On demand, connected clients receive geometry and texture information selectively, completing the pipeline by asynchronously reconstituting these data into a frame using GPUs with minimal functionality. A client-side caching system makes DARM robust to network fluctuations. Furthermore, users can immediately start consuming the service without the need for lengthy downloads or installation processes. DARM was evaluated on its effectiveness as a vehicle for bringing hardware-accelerated ray tracing to various device classes, including smartphones and single board computers. Results show that DARM is effective at allowing these devices to visualise high quality ray traced output at high frame rates and low response times.en_GB
dc.language.isoenen_GB
dc.publisherSCITEPRESS – Science and Technology Publications.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectRendering (Computer graphics)en_GB
dc.subjectReal-time rendering (Computer graphics)en_GB
dc.subjectRay tracing algorithmsen_GB
dc.subjectTexture mappingen_GB
dc.subjectATLAS (Computer)en_GB
dc.titleAtlas shrugged : device-agnostic radiance megatexturesen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe 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.conferencename15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020)en_GB
dc.bibliographicCitation.conferenceplaceValletta, Malta. 27-29/02/2020.en_GB
dc.description.reviewedpeer-revieweden_GB
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