English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Light Source Interpolation for Sparsely Sampled Reflectance Fields

MPS-Authors
There are no MPG-Authors in the publication available
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

Chen, B., & Lensch, H. P. A. (2005). Light Source Interpolation for Sparsely Sampled Reflectance Fields. In G. Greiner, J. Hornegger, H. Niemann, & M. Stamminger (Eds.), Vision, Modeling, and Visualization 2005 (pp. 461-469). Berlin: Akademische Verlagsgesellschaft Aka.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0023-E706-9
Abstract
In this work we propose a novel approach for realistic fire animation and manipulation. We apply a statistical learning method to an image sequence of a real-world flame to jointly capture flame motion and appearance characteristics. A low-dimensional generic flame model is then robustly matched to the video images. The model parameter values are used as input to drive an Expectation-Maximization algorithm to learn an {\em auto regressive process} with respect to flame dynamics. The generic flame model and the trained motion model enable us to synthesize new, unique flame sequences of arbitrary length in real-time.