![color temperature conversion chart color temperature conversion chart](https://static01.nyt.com/images/2013/01/08/blogs/dotAustraliaHot/dotAustraliaHot-articleInline-v3.jpg)
Figure 8c, g shows that the reconstructed images from Fig. 8a, e are basically in accordance with the real flames. Figure 8b, f shows that the temperature distributions calculated from Fig. Multi-view ( \(\)) by the blackbody radiation color calculation. On the one hand, two-view reconstruction methods, such as multiplication and flame sheet generation are easy to implement but yield poor visual effects. However, they also have two significant problems. Image-based reconstruction methods have obvious advantages for modeling visually realistic flame. This method is not only useful for reconstructing visually realistic 3D flame, but it also deepens our understanding of flame details. 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. 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. 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.
![color temperature conversion chart color temperature conversion chart](http://www.yarntree.com/075dmcolorspg2.jpg)
It has advantages in the extrapolation and synthesis of 2D dynamic flame however, the flame information from the third dimension is lost. Dynamic texture exhibits certain stationarity properties in time from sequences of flame images. 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. 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. We improve the multiplication reconstruction with visual hull restriction so that the energy distribution is more reasonable, which allows avoidance of the impossible zones. Color-temperature mapping is calculated to avoid color distortion this method maps the RGB intensities into the color temperature and its joint intensity.
![color temperature conversion chart color temperature conversion chart](https://www.printabledocs.net/wp-content/uploads/Resistor-Measurement-Chart_Page_2.jpg)
A novel method for 3D flame reconstruction using color temperature is presented in this paper. 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. Reconstruction from color images will keep the colorful appearance, as is beneficial for visually realistic flame modeling. The reconstruction of flame from the captured images is a difficult and computationally expensive problem.