“Image-Based Tomographic Reconstruction of Flames” by Ihrke and Magnor
Conference:
Type(s):
Title:
- Image-Based Tomographic Reconstruction of Flames
Session/Category Title: I've Seen Fire and I've Seen Rain
Presenter(s)/Author(s):
Abstract:
Non-invasively determining the three-dimensional structure of real flames is a challenging task. We present a tomographic method for reconstructing a volumetric model from multiple images of fire. The method is similar to sparse-view computerized tomography and is applicable to static camera setups observing dynamic flames. Using an algebraic reconstruction method, we can restrict the solution space such that a high quality model is obtained from only a small number of camera images. An additional advantage is fast processing of multi-video sequences to generate time-varying models for animation purposes. The resulting three-dimensional fire model is useful for realistic rendering of fire animations, as well as for analyzing gasdynamics of fires.
References:
BONET, J. S. D., AND VIOLA, P. A. 1999. Roxels: Responsibility Weighted 3D Volume Reconstruction. In ICCV 1999, 418 – 425.
GERING, D. T., AND WELLS III, W. M. 1999. Object Modeling using Tomography and Photography. In Proceedings of IEEE Workshop on Multi-View Modeling and Analysis of Visual Scenes, 11–18.
HASINOFF, S. W., AND KUTULAKOS, K. N. 2003. Photo-Consistent 3D Fire by Flame-Sheet Decomposition. In In Proceedings of 9th IEEE International Conference on Computer Vision ICCV 2003, 1184 – 1191.
HASINOFF, S. W., 2002. Three-Dimensional Reconstruction of Fire from Images. MSc Thesis, University of Toronto, Department of Computer Science.
