Emotion recognition from images
Over the past decade we have observed an increasing interest in developing technologies for automatic emotion recognition. The automatic recognition of emotions has many of applications in environments where machines need to collaborate with humans. Most of the research on emotion recognition from images has been focusing on faces, and currently there are already commercial software for emotion recognition from facial expression. In this talk, I will discuss the importance of analyzing scenes, in addition to faces, in order to better recognize emotions and will motivate how emotion recognition can be approached from a scene understanding perpective.
Agata Lapedriza is a Professor at the Universitat Oberta de Catalunya. She received her MS deegree in Mathematics at the Universitat de Barcelona and her Ph.D. degree in Computer Science at the Computer Vision Center, at the Universitat Autonoma Barcelona. She was working as a visiting researcher at the Computer Science and Artificial Intelligence Lab, at the Massachusetts Institute of Technology (MIT), from 2012 until 2015. Currently she is also a visiting researcher at the MIT Medialab, at the Affective Computing group. Her research interests are related to image understanding, scene recognition and characterization, and affective computing