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Filtered Stochastic...
Filtered Stochastic Shadow Mapping Using a Layered Approach
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- Andersson, Magnus (författare)
- Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
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Hasselgren, Jon (författare)
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Munkberg, Jacob (författare)
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- Akenine-Möller, Tomas (författare)
- Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
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(creator_code:org_t)
- 2015-07-30
- 2015
- Engelska.
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Ingår i: Computer Graphics Forum. - : Wiley. - 1467-8659 .- 0167-7055. ; 34:8, s. 119-129
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Abstract
Ämnesord
Stäng
- Given a stochastic shadow map rendered with motion blur, our goal is to render an image from the eye with motion-blurred shadows with as little noise as possible. We use a layered approach in the shadow map and reproject samples along the average motion vector, and then perform lookups in this representation. Our results include substantially improved shadow quality compared to previous work and a fast graphics processing unit (GPU) implementation. In addition, we devise a set of scenes that are designed to bring out and show problematic cases for motion-blurred shadows. These scenes have difficult occlusion characteristics, and may be used in future research on this topic.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
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- ref (ämneskategori)
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