IEEE Trans Vis Comput Graph. 2018 Jul;24(7):2209-2222. doi: 10.1109/TVCG.2017.2712688. Epub 2017 Jun 6.
We introduce a novel approach for flame volume reconstruction from videos using inexpensive charge-coupled device (CCD) consumer cameras. The approach includes an economical data capture technique using inexpensive CCD cameras. Leveraging the smear feature of the CCD chip, we present a technique for synchronizing CCD cameras while capturing flame videos from different views. Our reconstruction is based on the radiative transport equation which enables complex phenomena such as emission, extinction, and scattering to be used in the rendering process. Both the color intensity and temperature reconstructions are implemented using the CUDA parallel computing framework, which provides real-time performance and allows visualization of reconstruction results after every iteration. We present the results of our approach using real captured data and physically-based simulated data. Finally, we also compare our approach against the other state-of-the-art flame volume reconstruction methods and demonstrate the efficacy and efficiency of our approach in four different applications: (1) rendering of reconstructed flames in virtual environments, (2) rendering of reconstructed flames in augmented reality, (3) flame stylization, and (4) reconstruction of other semitransparent phenomena.
我们介绍了一种从视频中重建火焰体积的新方法，该方法使用廉价的电荷耦合器件 (CCD) 消费级相机。该方法包括一种使用廉价 CCD 相机的经济数据采集技术。利用 CCD 芯片的模糊特征，我们提出了一种在从不同视角捕捉火焰视频时同步 CCD 相机的技术。我们的重建基于辐射传输方程，该方程允许在渲染过程中使用发射、吸收和散射等复杂现象。颜色强度和温度重建都使用 CUDA 并行计算框架实现，该框架提供实时性能，并允许在每次迭代后可视化重建结果。我们使用真实捕获的数据和基于物理的模拟数据展示了我们方法的结果。最后，我们还将我们的方法与其他最先进的火焰体积重建方法进行了比较，并在四个不同的应用中展示了我们方法的有效性和效率：（1）在虚拟现实环境中渲染重建的火焰，（2）在增强现实中渲染重建的火焰，（3）火焰风格化，（4）重建其他半透明现象。
