基于激光扫描的烟雾采集与重建

Xin Gao, Yong Hu, Qing Zuo, Yue Qi
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引用次数: 0

摘要

本文提出了一种基于激光扫描的烟雾序列体积模型捕获和重建技术。首先,介绍了一种专用装置作为水平扫描中的激光片照明器。为了实现准确的采集,在振镜和高速摄像机之间增加了信号同步方案。然后,用激光片反复扫过体积,被照亮的烟雾片被捕获。每次激光扫描都会记录下几乎同时发生的烟雾密度场。在接下来的重建过程中,通过相机和激光校准,计算捕获图像像素的三维真实位置。最后,利用三维Kriging插值算法对这些不规则的烟雾密度场进行重新采样,重构成规则的烟雾体积模型。实验结果表明,该方法重建的可视化烟雾体积模型保真度较高,可以实现逼真的烟雾建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laser Sheet Scanning Based Smoke Acquisition and Reconstruction
This paper develops a laser sheet scanning based technique for capturing and reconstructing sequential volumetric models of smoke. First, a dedicated setup is introduced as the laser sheet illuminator in horizontal scanning. To achieve an accurate acquisition, a signal synchronized scheme is added between the galvanometer and the high-speed camera. Then, with a laser sheet sweeping through the volume repeatedly, the illuminated smoke slices are captured. Each sweep of the laser records a near-simultaneous smoke density field. In next reconstruction procedure, through camera and laser calibrations, 3D real positions of the pixels of captured images is calculated. Finally, these irregular smoke density fields are re sampled by a 3D original Kriging interpolation algorithm and are reconstructed to regular smoke volumetric models. In experimental results, the fidelity of visualized smoke volumetric models reconstructed by our smoke modeling method demonstrates that our approach can make a good effect on realistic smoke modeling.
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