PT Unknown
AU Eduardo Aguilar
   Bhalaji Nagarajan
   Rupali Khatun
   Marc Bolaños
   Petia Radeva
TI Uncertainty Modeling and Deep Learning Applied to Food Image Analysis
BT 13th International Joint Conference on Biomedical Engineering Systems and Technologies
PY 2020
DI 10.5220/0009429400090016
AB Recently, computer vision approaches specially assisted by deep learning techniques have shown unexpected advancements that practically solve problems that never have been imagined to be automatized like face recognition or automated driving. However, food image recognition has received a little effort in the Computer Vision community. In this project, we review the field of food image analysis and focus on how to combine with two challenging research lines: deep learning and uncertainty modeling. After discussing our methodology to advance in this direction, we comment potential research, social and economic impact of the research on food image analysis.
ER