用单视角拍摄空气流动，实现室内气流三维重建
Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography
- 通过投影图案与相机捕捉光线畸变，非侵入式感知气流
- 结合物理方程约束，重建结果更符合真实气流规律
- 适合建筑通风设计、空气质量监测等场景
我们提出一种基于背景导向斜视术（BOS）的单视角非侵入式室内气流三维估计框架。利用投影仪在后墙投射图案，相机捕捉气流引起的光路畸变。针对单视角BOS断层成像问题严重病态的挑战，本框架采用三项改进：（1）优化射线追踪方法；（2）基于物理的光渲染与损失函数设计；（3）引入物理信息神经网络（PINN）进行物理约束正则化，确保重建气流满足浮力驱动流的控制方程。
原文摘要 · Abstract (English)
We develop a framework for non-invasive volumetric indoor airflow estimation from a single viewpoint using background-oriented schlieren (BOS) measurements and physics-informed reconstruction. Our framework utilizes a light projector that projects a pattern onto a target back-wall and a camera that observes small distortions in the light pattern. While the single-view BOS tomography problem is severely ill-posed, our proposed framework addresses this using: (1) improved ray tracing, (2) a physics-based light rendering approach and loss formulation, and (3) a physics-based regularization using a physics-informed neural network (PINN) to ensure that the reconstructed airflow is consistent with the governing equations for buoyancy-driven flows.
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