Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

Automatic affect analysis has attracted great interest in various contexts including the recognition of action units and basic or non-basic emotions. In spite of major efforts, there are several open questions on what the important cues to interpret facial expressions are and how to encode them. In this paper, we review the progress across a range of affect recognition applications to shed light on these fundamental questions. We analyse the state-of-the-art solutions by decomposing their pipelines into fundamental components, namely face registration, representation, dimensionality reduction and recognition. We discuss the role of these components and highlight the models and new trends that are followed in…

• EA
  Engineering and Physical Sciences Research Council

  Awards: EP/K017500/1, EP/K017500/1