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
URI: wscg.zcu.cz/WSCG2015/CSRN-2501.pdf
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

Files in This Item:
File Description SizeFormat 
Ehm.pdfPlný text3,11 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29520

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.