Abstract
The reconstruction of flame from the captured images is a difficult and computationally expensive problem. Reconstruction from color images will keep the colorful appearance, as is beneficial for visually realistic flame modeling. 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. A novel method for 3D flame reconstruction using color temperature is presented in this paper. Color-temperature mapping is calculated to avoid color distortion; this method maps the RGB intensities into the color temperature and its joint intensity. 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.
Highlights
Fire/flame plays an essential role in virtual environments, which is an inherently dynamic phenomenon with sparse density, uneven particle distribution and self-illumination
Different from existing color-image-based methods, our method considers the relationship of RGB intensities using color temperature to generate 3D flame
Epipolar plane matching is used to locate the same object in different images, which is crucial to reconstructing 3D flame data field as shown in Fig. 5 where M represents a point in space, V1 and V2 are the image planes of two cameras
Summary
Fire/flame plays an essential role in virtual environments, which is an inherently dynamic phenomenon with sparse density, uneven particle distribution and self-illumination. Image-based 3D reconstruction [2] captures multi-view images directly from real flame, and based on these data generates 3D flame models. This method is useful for reconstructing visually realistic 3D flame, but it deepens our understanding of flame details. Image-based reconstruction methods have obvious advantages for modeling visually realistic flame.
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