no code implementations • 5 Jun 2022 • Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez
The results suggest that it is possible to realistically replicate the results for experiments carried out using both visible and infrared cameras.
no code implementations • 20 Jan 2022 • Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel Gonzalez-Mendoza, Luis Eduardo Falcón-Morales
This research work explores the application of deep learning models in an alternative approach that uses the semantic segmentation of jet fires flames to extract main geometrical attributes, relevant for fire risk assessments.
no code implementations • 7 Jul 2021 • Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel Gonzalez-Mendoza, Luis Eduardo Falcón-Morales
One such characterization would be the segmentation of different radiation zones within the flame, so this paper presents an exploratory research regarding several traditional computer vision and Deep Learning segmentation approaches to solve this specific problem.