Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shcherbakov, Alexandr | |
dc.contributor.author | Frolov, Vladimir | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2018-04-11T08:52:21Z | - |
dc.date.available | 2018-04-11T08:52:21Z | - |
dc.date.issued | 2017 | |
dc.identifier.citation | WSCG 2017: full papers proceedings: 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 99-105. | en |
dc.identifier.isbn | 978-80-86943-44-2 | |
dc.identifier.issn | 2464–4617 (print) | |
dc.identifier.issn | 2464–4625 (CD-ROM) | |
dc.identifier.uri | wscg.zcu.cz/WSCG2017/!!_CSRN-2701.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29550 | |
dc.description.abstract | We propose a novel approach to implement radiosity on GPU with specific optimizations via form-factor matrix transformations. The proposed transformations enable to reduce the amount of computations for multiple-bounce global illumination and apply DXT compression (with subsequent hardware decompression when reading formfactors on GPU). Our implementation is 10 times faster running and requires 3 times less memory than the naive radiosity GPU implementation. | en |
dc.format | 7 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | WSCG 2017: full papers proceedings | en |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | globální osvětlení | cs |
dc.subject | radiiozita | cs |
dc.subject | aplikace v reálném čase | cs |
dc.title | Accelerating radiosity on GPUs | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | global illumination | en |
dc.subject.translated | radiosity | en |
dc.subject.translated | real-time applications | en |
dc.type.status | Peer-reviewed | en |
Appears in Collections: | WSCG 2017: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Shcherbakov.pdf | Plný text | 4,11 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29550
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