Laser & Optoelectronics Progress, Volume. 57, Issue 14, 141504(2020)
Micro-Expression Recognition Algorithm Based on Multiple Motive Feature Fusion
In micro-expression recognition, directly using the original micro-expression sequence achieves sub-satisfactory results, and the existing algorithms often employ a single feature map rather than fusing multiple feature maps. To address these problems, this paper proposes a new micro-expression recognition algorithm that fuses motion feature maps after extracting the features to obtain more accurate recognition results. The proposed algorithm uses the fused deep learning framework between convolutional neural network (CNN) and long-and-short memory (LSTM) network. Different algorithms are evaluated on the CASMEII micro-expression database. Experimental results show that the proposed method performs better compared with other algorithms.
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Yuting Su, Mengmeng Wang, Jing Liu, Yunpeng Fei, Xu He. Micro-Expression Recognition Algorithm Based on Multiple Motive Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141504
Category: Machine Vision
Received: Mar. 12, 2020
Accepted: May. 8, 2020
Published Online: Jul. 28, 2020
The Author Email: Liu Jing (jliu_tju@tju.edu.cn)