Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 9
2861-2865

Expression-oriented ROI region secondary voting mechanism

Wen Yuanmei
Ouyang Wen
Ling Yongquan
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0189

Abstract

Aiming at the problem of how to more efficiently use the distributed features that convolutional neural network has learned from training images, this paper proposed a regions of interest(ROI) region secondary voting mechanism for facial expression recognition. Firstly, it divided the image into a series of ROI images, which were input into the convolutional neural network for training. Then, it input the ROI images of the test image into the convolutional neural network and got all ROI images'discriminant results. Lastly, it used the secondary voting mechanism to determine the final category of test image. In addition, aiming at the problem of convolutional neural network cannot learn spatial position information such as rotation, this paper introduced the spatial transformer network to make convolutional neural network useful in complex condition. Experiments show the ROI region secondary voting mechanism can more effectively use the distributed features which learned by convolutional neural network, compared with the method of voting directly using ROI images, the accuracy is increased by 1.1%. The introduction of STN can effectively improve the robustness of convolutional neural network, compared with non-introduced STN, the accuracy is increased by 1.5%.

Foundation Support

国家自然科学基金资助项目(61671163,11871168)
广东省自然科学基金项目(2018A030310593)
2017年中央财政支持地方高校发展专项资金项目(201707)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0189
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Technology of Graphic & Image
Pages: 2861-2865
Serial Number: 1001-3695(2019)09-065-2861-05

Publish History

[2019-09-05] Printed Article

Cite This Article

文元美, 欧阳文, 凌永权. 一种面向表情识别的ROI区域二级投票机制 [J]. 计算机应用研究, 2019, 36 (9): 2861-2865. (Wen Yuanmei, Ouyang Wen, Ling Yongquan. Expression-oriented ROI region secondary voting mechanism [J]. Application Research of Computers, 2019, 36 (9): 2861-2865. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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