TR2025-071

Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography


    •  Teh, A., Ali, W.H., Rapp, J., Mansour, H., "Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography", International Symposium on Computational Sensing (ISCS), June 2025.
      BibTeX TR2025-071 PDF
      • @inproceedings{Teh2025jun,
      • author = {Teh, Arjun and Ali, Wael H. and Rapp, Joshua and Mansour, Hassan},
      • title = {{Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography}},
      • booktitle = {International Symposium on Computational Sensing (ISCS)},
      • year = 2025,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2025-071}
      • }
  • MERL Contacts:
  • Research Areas:

    Computational Sensing, Machine Learning, Signal Processing

Abstract:

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.

 

  • Related Publication

  •  Teh, A., Ali, W.H., Rapp, J., Mansour, H., "Indoor Airflow Imaging Using Physics-Informed Schlieren Tomography", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP49660.2025.10889412, April 2025, pp. 1-5.
    BibTeX TR2025-035 PDF
    • @inproceedings{Teh2025mar,
    • author = {Teh, Arjun and Ali, Wael H. and Rapp, Joshua and Mansour, Hassan},
    • title = {{Indoor Airflow Imaging Using Physics-Informed Schlieren Tomography}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2025,
    • pages = {1--5},
    • month = mar,
    • doi = {10.1109/ICASSP49660.2025.10889412},
    • url = {https://www.merl.com/publications/TR2025-035}
    • }