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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 B. Girod, M. A. Magnor, & H.-P. Seidel (Eds.), Vision, modeling, and visualization 2004 (pp. 249-254). Berlin, Germany: Akademische Verlagsgesellschaft Aka.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2B05-C Version Permalink: https://hdl.handle.net/21.11116/0000-000F-17E0-A
Genre: Conference Paper

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 Creators:
Dmitriev, Kirill1, Author
Seidel, Hans-Peter2, Author                 
Affiliations:
1Max Planck Society, ou_persistent13              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Free keywords: -
 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: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 232047
Other: Local-ID: C125675300671F7B-80DB4106BB068C02C1256F5E004741EF-dmitrie04ppt
BibTex Citekey: Dmitriev-Seidel_VMV04
 Degree: -

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Title: 9th International Fall Workshop on Vision, Modeling, and Visualization
Place of Event: Stanford, CA, USA
Start-/End Date: 2004-11-16 - 2004-11-18

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Title: Vision, modeling, and visualization 2004
  Abbreviation : VMV 2004
Source Genre: Proceedings
 Creator(s):
Girod, Bernd1, Editor
Magnor, Marcus A.2, Editor           
Seidel, Hans-Peter3, Editor                 
Affiliations:
1 External Organizations, ou_persistent22            
2 Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549            
3 Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047            
Publ. Info: Berlin, Germany : Akademische Verlagsgesellschaft Aka
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 249 - 254 Identifier: ISBN: 3-89838-058-0