基于迁移卷积神经网络的视频表情识别研究

Darui Tian, Lufei Chen, Dongchen Li
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引用次数: 0

摘要

人脸表情识别是人工智能研发的重要组成部分,也是保证人机友好交互真正实现智能化目标的重要技术之一。在了解动态时间翘曲及其改进算法的基础上,根据卷积神经网络的构造和应用,分析了如何设计基于3D-CNN的视频面部表情识别系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Video Expression Recognition Based on Migrated Convolutional Neural Network
Face expression recognition is an important part of artificial intelligence research and development, and it is also one of the important technologies to ensure the human-computer friendly interaction to truly achieve the intelligent goal. After understanding the dynamic time warping and its improved algorithm, this paper analyzes how to design video facial expression recognition system based on 3D-CNN according to the construction and application of convolutional neural network.
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