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Facial action provides various types of messages for human communications. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, frequent head movements, and ambiguous and uncertain facial motion measurements. As a result, current research in facial action recognition is limited to posed facial actions and often in frontal view.Spontaneous facial action...
For many computer vision problems, it is very important to produce the ground truth data. Manual data labeling is labor-intensive and prone to the human errors, whereas fully automatic data labeling is not feasible and reliable. In this paper, we propose an interactive labeling technique for efficient and accurate data labeling. Constructed on a Bayesian network (BN), the automatic image labeler produces...
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