| Title: | Adaptive depth bias for soft shadows |
| Authors: | Ehm, Alexander Ederer, Alexander Klein, Andreas Nischwitz, Alfred |
| Citation: | WSCG 2015: full papers proceedings: 23rd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 219-228. |
| Issue Date: | 2015 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | wscg.zcu.cz/WSCG2015/CSRN-2501.pdf http://hdl.handle.net/11025/29520 |
| ISBN: | 978-80-86943-65-7 (print) 978-80-86943-61-9 (CD-ROM) |
| ISSN: | 2464–4617 (print) 2464–4625 (CD-ROM) |
| Keywords: | stínové mapování;adaptivní předpojatost;projektivní falšování;automatické nastavení zkreslení |
| Keywords in different language: | shadow-mapping;adaptive bias;projective aliasing;automatic bias adjustment |
| Abstract: | With shadow mapping the need of a suitable biasing technique due to shadow aliasing is indisputable. Dou et al. [Dou14] introduced a biasing technique that computes the optimal bias adaptively for each fragment. In this paper, we propose enhancements for this algorithm. First, we extend the algorithm for soft shadows, such as percentage closer filtering (PCF) and percentage closer soft shadows (PCSS). Second, we minimize the projective aliasing by introducing a scale factor depending on the ratio between surface and light direction. We show that our enhancements increase the shadow quality and introduce only a small overhead. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2015: Full Papers Proceedings |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29520Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.