2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-10.5
Paper Title MORPHSET: AUGMENTING CATEGORICAL EMOTION DATASETS WITH DIMENSIONAL AFFECT LABELS USING FACE MORPHING
Authors Vassilios Vonikakis, Amazon Web Services, Singapore; Dexter Neo, Stefan Winkler, National University of Singapore, Singapore
SessionARS-10: Image and Video Analysis and Synthesis
LocationArea H
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Synthesis, Rendering, and Visualization
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Abstract Emotion recognition and understanding is a vital component in human-machine interaction. Dimensional models of affect such as those using valence and arousal have advantages over traditional categorical ones due to the complexity of emotional states in humans. However, dimensional emotion annotations are difficult and expensive to collect, therefore they are still limited in the affective computing community. To address these issues, we propose a method to generate synthetic images from existing categorical emotion datasets using face morphing, with full control over the resulting sample distribution as well as dimensional labels in the circumplex space, while achieving augmentation factors of at least 20x or more.