@conference {cBlanco24,
	title = {Estimation of 3D Shape and Volume of Fire Plumes from Multiple Views},
	booktitle = {4th European Symposium on Fire Safety Science},
	volume = {2885},
	year = {2024},
	month = {10/2024},
	publisher = {IOP J. Phys.: Conf. Ser.},
	organization = {IOP J. Phys.: Conf. Ser.},
	type = { 4th European Symposium on Fire Safety Science 09/10/2024 - 11/10/2024 Barcelona, Spain},
	chapter = {012075},
	address = {Barcelona},
	abstract = {<p>This study evaluates deep-learning and Shape from Silhouette (SfS) methods for 3D reconstruction of smoke plumes. It demonstrates the deep-learning method{\textquoteright}s superiority in cases with limited camera views and calibration data, achieving high-quality reconstructions of semi-transparent smoke without precise calibration. The research emphasizes the significance of pre-processing and data appearance for neural network efficacy. By improving 3D reconstruction techniques, this work aids in advancing wildfire tracking and environmental analysis, offering a practical approach for real-world applications in fire science.</p>},
	url = {https://esfss2024.com/},
	author = {J{\'u}lia Ariadna Blanco and M. Pard{\`a}s and Josep R Casas and Ronan Paugam and Alba {\`A}gueda and Wagner, Joel and Russell Parsons and Planas, Eul{\`a}lia}
}
@article {a24,
	title = {Estimation of 3D Shape and Volume of Fire Plumes from Multiple Views},
	journal = {IOP J. Phys.: Conf. Ser.},
	volume = {2885},
	year = {2024},
	month = {09/2024},
	chapter = {012075},
	abstract = {<p>This study evaluates deep-learning and Shape from Silhouette (SfS) methods for 3D reconstruction of smoke plumes. It demonstrates the deep-learning method{\textquoteright}s superiority in cases with limited camera views and calibration data, achieving high-quality reconstructions of semitransparent smoke without precise calibration. The research emphasizes the significance of preprocessing and data appearance for neural network efficacy. By improving 3D reconstruction techniques, this work aids in advancing wildfire tracking and environmental analysis, offering a practical approach for real-world applications in fire science.</p>},
	doi = {10.1088/1742-6596/2885/1/012075},
	url = {https://iopscience.iop.org/article/10.1088/1742-6596/2885/1/012075},
	author = {J{\'u}lia Ariadna Blanco and M. Pard{\`a}s and Josep R Casas and Ronan Paugam and Alba {\`A}gueda and Wagner, Joel and Russell Parsons and Planas, Eul{\`a}lia}
}
