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Robust features for facial action recognition
[article]
2017
arXiv
pre-print
Automatic recognition of facial gestures is becoming increasingly important as real world AI agents become a reality. In this paper, we present an automated system that recognizes facial gestures by capturing local changes and encoding the motion into a histogram of frequencies. We evaluate the proposed method by demonstrating its effectiveness on spontaneous face action benchmarks: the FEEDTUM dataset, the Pain dataset and the HMDB51 dataset. The results show that, compared to known methods,
arXiv:1702.01426v2
fatcat:slqsnysu2bbvjk3izkwp5avafi