A Survey on Facial Expression Recognition using DIP Techniques

Conference: McGraw-Hill International Conference on Signal, Image Processing Communication and Automation
Author(s): Priyanka A.Gavade, Vandana S.Bhat Year: 2017
Grenze ID: 02.MH-ICSIPCA.2017.1.9 Page: 51-58

Abstract

Facial expression is that the handiest variety of non-verbal communication and it provides a\nclue concerning emotion, attitude and intention. Automatic recognition of facial expressions will be a crucial element of\nnatural human-machine interfaces; it\'s going to even be utilized in activity science and in clinical observe, police work and\nsecurity etc. though humans acknowledge facial expressions just about with no effort or delay, reliable expression recognition\nby machine remains a challenge. This paper presents a survey of facial features recognition, its hurdles in face recognition,\nand comparative analysis numerous facial features recognition approaches.

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MH-ICSIPCA - 2017