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  A CAVE System for Interactive Modeling of Global Illumination in Car Interior

Dmitriev, K., Annen, T., Krawczyk, G., Myszkowski, K., & Seidel, H.-P. (2004). A CAVE System for Interactive Modeling of Global Illumination in Car Interior. In ACM Symposium on Virtual Reality Software and Technology (VRST 2004) (pp. 137-145). New York, USA: ACM.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-29FF-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2A00-D
Genre: Conference Paper

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 Creators:
Dmitriev, Kirill1, Author
Annen, Thomas2, Author           
Krawczyk, Grzegorz2, Author           
Myszkowski, Karol2, Author           
Seidel, Hans-Peter2, Author           
Lau, Rynson1, Editor
Baciu, George1, Editor
Affiliations:
1Max Planck Society, ou_persistent13              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: Global illumination dramatically improves realistic appearance of rendered scenes, but usually it is neglected in VR systems due to its high costs. In this work we present an efficient global illumination solution specifically tailored for those CAVE applications, which require an immediate response for dynamic light changes and allow for free motion of the observer, but involve scenes with static geometry. As an application example we choose the car interior modeling under free driving conditions. We illuminate the car using dynamically changing High Dynamic Range (HDR) environment maps and use the Precomputed Radiance Transfer (PRT) method for the global illumination computation. We leverage the PRT method to handle scenes with non-trivial topology represented by complex meshes. Also, we propose a hybrid of PRT and final gathering approach for high-quality rendering of objects with complex Bi-directional Reflectance Distribution Function (BRDF). We use this method for predictive rendering of the navigation LCD panel based on its measured BRDF. Since the global illumination computation leads to HDR images we propose a tone mapping algorithm tailored specifically for the CAVE. We employ head tracking to identify the observed screen region and derive for it proper luminance adaptation conditions, which are then used for tone mapping on all walls in the CAVE. We distribute our global illumination and tone mapping computation on all CPUs and GPUs available in the CAVE, which enables us to achieve interactive performance even for the costly final gathering approach.

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Language(s): eng - English
 Dates: 2005-04-272004
 Publication Status: Issued
 Pages: -
 Publishing info: New York, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 231986
Other: Local-ID: C125675300671F7B-9738E2CF6F79F214C1256F5E004819E6-dmitriev04acs
 Degree: -

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Title: Untitled Event
Place of Event: Hong Kong
Start-/End Date: 2004-11-10

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Title: ACM Symposium on Virtual Reality Software and Technology (VRST 2004)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 137 - 145 Identifier: -