EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 5562 - 5570
• Main Authors: Benitez-Quiroz, C. Fabian, Srinivasan, Ramprakash, Martinez, Aleix M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Computer vision; Face; Gold; Shape; Skin; Training

Research in face perception and emotion theory requires very large annotated databases of images of facial expressions of emotion. Annotations should include Action Units (AUs) and their intensities as well as emotion category. This goal cannot be readily achieved manually. Herein, we present a nove...