— This work details the authors’ efforts to push the baseline of expression recognition performance on a realistic database. Both subject-dependent and subject-independent emot...
Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zha...
— Is the study of the dimensional space that is meant to represent human emotions helpful in understanding the mechanisms underlying emotional processes? Emotional experience is ...
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
— We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully automatic real-time facial expression recognition, and officially release it for free ...
Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Ian ...
— We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently propo...
Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzim...
— Common human actions are instantly recognizable by people and increasingly machines need to understand this language if they are to engage smoothly with people. Here we introdu...
— This paper introduces a novel approach to social behaviour recognition governed by the exchange of non-verbal cues between people. We conduct experiments to try and deduce dist...
Dumebi Okwechime, Eng-Jon Ong, Andrew Gilbert, Ric...
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
Meina Kan, Shiguang Shan, Yu Su, Xilin Chen, Wen G...
Abstract— We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; l...