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.
Analysis of Facial Expression Recognition using Histogram of Oriented Gradient (HOG)
2019-06-01
2615368 byte
Conference paper
Electronic Resource
English
A Prototype-Oriented Contrastive Adaption Network for Cross-Domain Facial Expression Recognition
British Library Conference Proceedings | 2023
|An analysis of facial expression recognition under partial facial image occlusion
British Library Online Contents | 2008
|