Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/8040
Title: | Convolution Shadow Maps | Authors: | Annen, Thomas MERTENS, Tom BEKAERT, Philippe Seidel, H.P. Kautz, J. |
Issue Date: | 2007 | Publisher: | Eurographics | Source: | Kautz, Jan & Pattanaik, Sumanta (Ed.) Rendering Techniques 2007: Eurographics Symposium on Rendering. p. 51-60. | Series/Report: | Eurographics / ACM SIGGRAPH Symposium Proceedings | Series/Report no.: | 18 | Abstract: | We present Convolution Shadow Maps, a novel shadow representation that affords efficient arbitrary linear filtering of shadows. Traditional shadow mapping is inherently non-linear w.r.t. the stored depth values, due to the binary shadow test. We linearize the problem by approximating shadow test as a weighted summation of basis terms. We demonstrate the usefulness of this representation, and show that hardware-accelerated anti-aliasing techniques, such as tri-linear filtering, can be applied naturally to Convolution Shadow Maps. Our approach can be implemented very efficiently in current generation graphics hardware, and offers real-time frame rates. | Document URI: | http://hdl.handle.net/1942/8040 | ISBN: | 978-3-905673-52-4 | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2015 |
Appears in Collections: | Research publications |
Show full item record
Page view(s)
18
checked on Aug 2, 2022
Download(s)
4
checked on Aug 2, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.