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

Priyanka N. Maraskolhe, A. S. Bhalchandra

发表年份
2019
引用次数
11

摘要

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.

关键词

HistogramHistogram of oriented gradientsComputer scienceArtificial intelligenceFacial expressionPattern recognition (psychology)Feature extractionSupport vector machineSurpriseFeature (linguistics)

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