  Fire effects are widely used in various computer graphics applications such
as visual effects and video games. Modeling the shape and appearance of fire
phenomenon is challenging as the underlying effects are driven by complex laws
of physics. State-of-the-art fire modeling techniques rely on sophisticated
physical simulations which require intensive parameter tuning, or use
simplifications which produce physically invalid results. In this paper, we
present a novel method of reconstructing physically valid fire models from
multi-view stereo images. Our method, for the first time, provides plausible
estimation of physical properties (e.g., temperature, density) of a fire volume
using RGB cameras. This allows for a number of novel phenomena such as global
fire illumination effects. The effectiveness and usefulness of our method are
tested by generating fire models from a variety of input data, and applying the
reconstructed fire models for realistic illumination of virtual scenes.
