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Received:March 18, 2020
Received:March 18, 2020
中文摘要: 人类面部表情在安全驾驶、智能监护、人机交互领域都有着广泛应用。随着机器学习的兴起和发展,表情识别也逐渐从传统方法向深度学习过渡。简要地概述了表情识别的研究意义、技术、常见的表情数据库、研究方法,提出了表情识别目前存在的不足并对未来研究方向作出了展望。
Abstract:Facial expressions are widely used in the fields of safe driving, intelligent monitoring and human-computer interaction.With the rise and development of machine learning, facial expression recognition has gradually transitioned from traditional methods to deep learning.This paper briefly summarizes the research significance, technology, common expression database and research methods of facial expression recognition, discusses the shortcomings of facial expression recognition and puts forword the research prospects.
keywords: facial expression recognition expression database deep learning convolutional neural network
文章编号:20210615 中图分类号:TP391.4 文献标志码:
基金项目:上海市自然科学基金(16ZR1413100)。
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