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  Progressive Path Tracing with Lightweight Local Error Estimation

Dmitriev, K., & Seidel, H.-P. (2004). Progressive Path Tracing with Lightweight Local Error Estimation. In Vision, modeling, and visualization 2004 (VMV-04) (pp. 249-254). Berlin, Germany: Akademische Verlagsgesellschaft Aka.

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 Creators:
Dmitriev, Kirill1, Author
Seidel, Hans-Peter2, Author           
Girod, Bernd, Editor
Magnor, Marcus3, Editor           
Seidel, Hans-Peter2, Editor           
Affiliations:
1Max Planck Society, ou_persistent13              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
3Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549              

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 Abstract: Adaptive sampling techniques typically applied in path tracing are not progressive. The reason is that they need all the samples used to compute pixel color for error estimation. Thus progressive computation would need to store all the samples for all the pixels, which is too expensive. Absence of progressivity is a big disadvantage of adaptive path tracing algorithms because a user may become aware of some unwanted effects on the image only after quite significant time. We propose a new estimate of local error in path tracing. The new technique happens to be lightweight in terms of both memory and execution time and lends itself very well to progressivity. Also, even thought perceptual error metric is used, it allows changes of any tone mapping parameters during the course of computation. In this case none of the previous effort is lost, error distribution is immediately updated and used for refining the solution.

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Language(s): eng - English
 Dates: 2005-05-302004
 Publication Status: Issued
 Pages: -
 Publishing info: Berlin, Germany : Akademische Verlagsgesellschaft Aka
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 232047
Other: Local-ID: C125675300671F7B-80DB4106BB068C02C1256F5E004741EF-dmitrie04ppt
 Degree: -

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Title: Untitled Event
Place of Event: Stanford, USA
Start-/End Date: 2004-11-16

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Title: Vision, modeling, and visualization 2004 (VMV-04)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Berlin, Germany : Akademische Verlagsgesellschaft Aka
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 249 - 254 Identifier: ISBN: 3-89838-058-0