English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Volumetric Reconstruction, Compression and Rendering of Natural Phenomena from Multi-Video Data

MPS-Authors
/persons/resource/persons43979

Ahrenberg,  Lukas
Computer Graphics, MPI for Informatics, Max Planck Society;
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

/persons/resource/persons44670

Ihrke,  Ivo
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44965

Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Ahrenberg, L., Ihrke, I., & Magnor, M. (2005). Volumetric Reconstruction, Compression and Rendering of Natural Phenomena from Multi-Video Data. In E. Gröller, I. Fujishiro, K. Müller, & T. Ertl (Eds.), Volume graphics 2005: Eurographics/IEEE VGTC workshop proceedings; Fourth International Workshop on Volume Graphics (pp. 83-90). Aire-la-Ville, Switzerland: Eurographics.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2891-4
Abstract
\begin{abstract} Lately, new methods for the acquisition of time-varying, volumetric data for photo-realistic rendering of semi-transparent, volumetric phenomena like fire and smoke have been developed. This paper presents a wavelet-coding and rendering approach for these volumetric sequences that exploits spatial as well as temporal coherence in the data. A space partitioning tree allows for efficient storage and real-time rendering of dynamic, volumetric data on common PC hardware. \end{abstract}