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Multimedia Tools and Applications

, Volume 78, Issue 12, pp 15887–15907 | Cite as

Novel multi-convolutional neural network fusion approach for smile recognition

  • Jiongwei Chen
  • Yi JinEmail author
  • Muhammad Waqar Akram
  • Kuan Li
  • Enhong Chen
Article
  • 108 Downloads

Abstract

The smile is one of the most common human facial expressions encountered in our daily lives. Smile recognition can be used in many scenarios, such as emotion monitoring, human-to-robot games, and camera shutter control, which is why smile recognition has received significant attention of researchers. This topic is a significant but challenging problem, particularly in unconstrained scenarios. The variety of facial sizes, illumination conditions, head poses, occlusions, and other factors increases the difficulty of this problem. To address this problem, we propose a novel multiple convolutional neural network (CNN) fusion approach in which a face-based CNN and a mouth-based CNN are used to perform smile recognition. According to the results obtained using the two CNNs, we fuse the two networks using a specified weight and choose the higher-probability result as the final result. Experimental results indicate that the method is effective on a real-world smile dataset (GENKI-4 K). The smile recognition rate of the proposed method is improved by 1.6% and 3.3% relative to the face-based CNN and mouth-based CNN, respectively, and the proposed method outperforms the most of previous methods.

Keywords

Smile recognition Convolutional neural networks Deep learning Model fusion Unconstrained face images 

Notes

Acknowledgements

This research was supported by the National Science Foundation of China (Grant Nos. 51605464), National Basic Research Program of China (973Program) (2014CB049500) and Research on the Major Scientific Instrument of National Natural Science Foundation of China (61727809).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Engineering ScienceUniversity of Science and Technology of ChinaHefeiChina
  2. 2.School of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefeiChina

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