Research Article
Expression Recognition Algorithm Based on Infrared Image
@INPROCEEDINGS{10.1007/978-3-030-82565-2_26, author={Ying Cui and Shi Qiu}, title={Expression Recognition Algorithm Based on Infrared Image}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Infrared image Face Multi-projection Level set Identify}, doi={10.1007/978-3-030-82565-2_26} }- Ying Cui
Shi Qiu
Year: 2021
Expression Recognition Algorithm Based on Infrared Image
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_26
Abstract
It’s important to recognize facial expressions in social communication. To solve the problem that facial expression recognition by visible light is vulnerable to interference, we built a model from the perspective of thermal infrared. Based on the distribution characteristics of thermal infrared, the face region is firstly located by building a multi-projection model toward color. Then, the level set function of the local Gaussian fitting model was optimized, the regular term was removed, and the larger iteration step size was selected to achieve accurate face segmentation on the premise of segmentation accuracy. Finally, based on the structure of traditional deep learning network, the characteristics of DPN and CBAM network are given full play to realize expression recognition by thermal infrared images.
