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Analysis of Facial Expression Recognition using Histogram of Oriented Gradient (HOG)

机译:基于方向直方图(HOG)的面部表情识别分析

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Recently various approaches for extracting facial features to recognize facial expression have recently gained importance in the field of human-robot interaction. Facial expressions like happy, anger, sad, surprise are contributing towards representing human behavior. This paper presents a most important technique i.e. Histogram of Oriented Gradient (HOG) for feature extraction. Classifiers like K-NN, SVM are proposed for recognition. MATLAB 2018(a) software, in Windows 10, 64-bit operating system is used for implementation.
机译:最近,在人机交互领域中,用于提取面部特征以识别面部表情的各种方法已变得越来越重要。诸如快乐,愤怒,悲伤,惊讶之类的面部表情正在有助于表现人类行为。本文提出了一种最重要的技术,即用于特征提取的定向梯度直方图(HOG)。提出了像K-NN,SVM这样的分类器进行识别。使用Windows 10 64位操作系统中的MATLAB 2018(a)软件来实现。

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