基于深度卷积神经网络的表情识别综述
摘要
人脸表情识别可以直接解决电脑和机器人如何理解人类意图的问题。随着深度卷积神经网络的快速发展,很多相关技术也被引入到了表情识别领域。基于此,总结了基于深度卷积神经网络的人脸表情识别技术的研究现状,同时分析了这些技术的优势和不足。最后,对人脸表情识别在实际应用中仍然存在的问题和不足,给出了进一步改进的方向。
关键词
深度学习;卷积神经网络;表情识别
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PDF参考
[1] Hong Wei Ng, Viet Dung Nguyen, Vassilios Vonikakis,and Stefan Winkler. Deep learning for emotion recognition on small datasets using transfer learning. In ACM on International Conference on Multimodal Interaction, pages 443–449,2015. [2] Xuehan Xiong and Fernando De La Torre. Supervised descent method and its applications to face alignment. In IEEE Conference on Computer Vision and Pattern Recognition, pages 532–539,2013. [3] Georgios Tzimiropoulos and Maja Pantic. Gauss-newton deformable part models for face alignment in-the-wild.2014.
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