Download This PaperSurvey Paper on Gender and Emotion Classification using Facial Expression Detection
5 Pages Posted: 2 Apr 2020
Date Written: April 1, 2020
Abstract
In day-to-day life Computer Vision is a domain in itself which deals with lots of application ahead like health care, banking, industrial, agriculture and many more in retail and security field. To gather the information about mood of any individual the main focus is on face. It is generally seen that humans depict their emotions through facial expression. At times, instead of verbal communication emotions are expressed by face. Here, along with it emotion classification nowadays gender classification is merged. Basically ‘LK method’ and ‘Pyramidal LK’ method were used for face detection. Both gender and emotion classification are less explored through face detection using Convolutional Neural Network (CNN) but in this paper it is analyzed that both classifications can be done in a single blend using state-of-art technology i.e. Multilayer Convolutional Neural Network (M-CNN).
Keywords: computer vision, gender classification, emotion classification, CNN
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