TR2025-071
Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography
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- "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}
- }
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- "Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography", International Symposium on Computational Sensing (ISCS), June 2025.
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MERL Contacts:
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Research Areas:
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
- @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}
- }