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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wu, Zhaohui Zhou, Zhong Tian, Delei Wu, Wei |
| Copyright Year | 2014 |
| 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. |
| Starting Page | 613 |
| Ending Page | 625 |
| Page Count | 13 |
| File Format | |
| ISSN | 01782789 |
| Journal | The Visual Computer |
| Volume Number | 31 |
| Issue Number | 5 |
| e-ISSN | 14322315 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-05-18 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Color distortion Color temperature Multiplication reconstruction Visual hull Three-dimensional reconstruction Flame/fire Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software |
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