Most of existing color-image-based methods rebuild three density fields from RGB intensities however, these methods suffer from the color distortion problem due to the high correlation of RGB intensities. Color-temperature mapping is calculated to avoid color distortion this method maps the RGB intensities into the color temperature and its joint intensity.Ī novel method for 3D flame reconstruction using color temperature is presented in this paper. We improve the multiplication reconstruction with visual hull restriction so that the energy distribution is more reasonable, which allows avoidance of the impossible zones. Experimental results indicate that our approach is efficient in the visually plausible 3D flame generation and produces better color restorations.įire/flame plays an essential role in virtual environments, which is an inherently dynamic phenomenon with sparse density, uneven particle distribution and self-illumination. Generating computer animated flame is a difficult and computationally expensive problem.įlame simulation methods currently focus on dynamic texture, particle system, physics-based simulation and image-based reconstruction. Dynamic texture exhibits certain stationarity properties in time from sequences of flame images. It has advantages in the extrapolation and synthesis of 2D dynamic flame however, the flame information from the third dimension is lost. A particle system that generates random particles is easy to implement to simulate turbulent flame, but particle movement is too random to achieve an accurate description of the movement of flame. Physics-based simulation is closer to the real development according to the physics equations however, it is difficult to capture the flames high-frequency details due to the numerical dissipation. Unlike traditional flame simulations, image-based 3D reconstruction captures multi-view images directly from real flame, and based on these data generates 3D flame models. This method is not only useful for reconstructing visually realistic 3D flame, but it also deepens our understanding of flame details. Image-based reconstruction methods have obvious advantages for modeling visually realistic flame. However, they also have two significant problems. On the one hand, two-view reconstruction methods, such as multiplication and flame sheet generation are easy to implement but yield poor visual effects. Multi-view ( \(\)) by the blackbody radiation color calculation. Figure 8b, f shows that the temperature distributions calculated from Fig. 8a, e are basically in accordance with the real flames. Figure 8c, g shows that the reconstructed images from Fig.
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