| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 4 | |
| Section | Session 1: Robotics | |
| DOI | https://doi.org/10.1051/itmconf/20171201005 | |
| Published online | 05 September 2017 | |
Facial Expression Recognition Based on TensorFlow Platform
College of computer science. Donghua University, Shanghai, China
* sherlysha@dhu.edu.cn
** 2151547@mail.dhu.edu.cn
Facial expression recognition have a wide range of applications in human-machine interaction, pattern recognition, image understanding, machine vision and other fields. Recent years, it has gradually become a hot research. However, different people have different ways of expressing their emotions, and under the influence of brightness, background and other factors, there are some difficulties in facial expression recognition. In this paper, based on the Inception-v3 model of TensorFlow platform, we use the transfer learning techniques to retrain facial expression dataset (The Extended Cohn-Kanade dataset), which can keep the accuracy of recognition and greatly reduce the training time.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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