Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968848 | Computer Vision and Image Understanding | 2017 | 45 Pages |
Abstract
Experiments on two challenging publicly available datasets show that the dynamics of appearance-based face expression representations can be used to discriminate among different emotion classes and, within a boosting approach, attain state-of-the-art average accuracy values in classification.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Liliana Lo Presti, Marco La Cascia,