@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 Casas, J. and Ronan Paugam and Alba {\`A}gueda and Wagner, Joel and Russell Parsons and Planas, Eul{\`a}lia}
}
