📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? (2024)

First Author: Tellamekala M

Attributed to: Continual Online Learning For Unconstrained Facial Landmark Detection And Tracking funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/taffc.2023.3280530

Publication URI: http://dx.doi.org/10.1109/taffc.2023.3280530

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Affective Computing

Issue: 2