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pro vyhledávání: '"Trinh Thi Doan Pham"'
Publikováno v:
IEEE Access, Vol 7, Pp 5200-5207 (2019)
Facial expression recognition (FER) is a very challenging problem in computer vision. Although extensive research has been conducted to improve FER performance in recent years, there is still room for improvement. A common goal of FER is to classify
Externí odkaz:
https://doaj.org/article/407eebff143243678b486dea1b189c40
Autor:
Trinh Thi Doan Pham, Chee Sun Won
Publikováno v:
IEEE Access, Vol 7, Pp 77816-77824 (2019)
This paper deals with the problem of training convolutional neural networks (CNNs) with facial action units (AUs). In particular, we focus on the imbalance problem of the training datasets for facial emotion classification. Since training a CNN with
Externí odkaz:
https://doaj.org/article/c18861fb93c344c5baf4992dcaf77f42
Publikováno v:
2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia).
Kinect v2 provides depth images with reduced noises and holes, which simplifies the pre-processing of eliminating noises and filling holes. This also allows us to detect the moving object with the depth information of Kinect v2 without resorting to R