Li, G.; Shi, J.; Peng, J. and Zhao, G. (2019). Micro-expression Recognition Under Low-resolution Cases.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 427-434. DOI: 10.5220/0007373604270434
Micro-expression recognition under low-resolution cases
|Author:||Li, Guifeng1; Shi, Jingang2; Peng, Jinye1;|
1Department of Information Science and Technology, Northwest University, Xi’an, China
2Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 2.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202001071207
Science and Technology Publications, LDA,
|Publish Date:|| 2020-01-07
Micro-expression is an essential non-verbal behavior that can faithfully express the human’s hidden emotions. It has a wide range of applications in the national security and computer aided diagnosis, which encourages us to conduct the research of automatic micro-expression recognition. However, the images captured from surveillance video easily suffer from the low-quality problem, which causes the difficulty in real applications. Due to the low quality of captured images, the existing algorithms are not able to perform as well as expected. For addressing this problem, we conduct a comprehensive study about the micro-expression recognition problem under low-resolution cases with face hallucination method. The experimental results show that the proposed framework obtains promising results on micro-expression recognition under low-resolution cases.
|Pages:||427 - 434|
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, 25 - 27 February 2019 Prague, Czech Republic
|Host publication editor:||
Maria Farinella, Giovanni
International Conference on Computer Vision Theory and Applications, VISAPP
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
G. Li is visiting the University of Oulu when the manuscript is completed. His visit is supported by the Graduate Academic Visiting Program of Northwest University and University of Oulu. J. Shi and G. Zhao have been supported by Academy of Finland, Tekes Fidipro Program(1849/31/2015),Tekes Project (3116/31/2017), Infotech, National Natural Science Foundation of China (61772419) and Tekniikan Edistamissaatio Foundation. J. Peng has been supported by Changjiang Scholars and Innovation Research Team in University (IRT 17R87), National Key R&D Program of China (2017YFB1402103), National Nature Science Foundation of China (41427804) and Shaanxi provincial Key R&D Program (2017ZDXMG-20-1).
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