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Reseach Article

A Review: Analysis of Facial Micro-Expressions

Published on July 2016 by Divya Bhatnagar, Drashti Pathak, Garima Saini, Amit Kumar Gautam, Vijai Singh
Recent Trends in Future Prospective in Engineering and Management Technology
Foundation of Computer Science USA
RTFEM2016 - Number 2
July 2016
Authors: Divya Bhatnagar, Drashti Pathak, Garima Saini, Amit Kumar Gautam, Vijai Singh
c2b61df7-1b67-488c-89d5-52e9062e7bbd

Divya Bhatnagar, Drashti Pathak, Garima Saini, Amit Kumar Gautam, Vijai Singh . A Review: Analysis of Facial Micro-Expressions. Recent Trends in Future Prospective in Engineering and Management Technology. RTFEM2016, 2 (July 2016), 1-3.

@article{
author = { Divya Bhatnagar, Drashti Pathak, Garima Saini, Amit Kumar Gautam, Vijai Singh },
title = { A Review: Analysis of Facial Micro-Expressions },
journal = { Recent Trends in Future Prospective in Engineering and Management Technology },
issue_date = { July 2016 },
volume = { RTFEM2016 },
number = { 2 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/rtfem2016/number2/25486-5120/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Trends in Future Prospective in Engineering and Management Technology
%A Divya Bhatnagar
%A Drashti Pathak
%A Garima Saini
%A Amit Kumar Gautam
%A Vijai Singh
%T A Review: Analysis of Facial Micro-Expressions
%J Recent Trends in Future Prospective in Engineering and Management Technology
%@ 0975-8887
%V RTFEM2016
%N 2
%P 1-3
%D 2016
%I International Journal of Computer Applications
Abstract

Micro-expressions,as the name suggests,are short termed facial expressions lasting only for a fraction of seconds. They usually occur when a person either knowingly or unknowingly tries to conceal his feelings or emotions. Detection of these expressions has proven to be useful in detecting a person's mood and his real intentions. Some recent studies indicate that some leaked facial micro-expressions occuring for a very short duration of about 1/25 to 1/3 seconds can't be faked. In order to detect such expressions a high speed camera with a frame rate of 100fps or higher is required. In this paper,various techniques used for micro-expression recognition have been analysed. Pros and cons of these techniques have also been discussed alongwith their future scope.

References
  1. Iain Matthews and Simon Baker. " Active Appearance Models Revisited". . . ,Internationl Journal of Computer Vision"
  2. Matthew Stephen Ratlifff,. "Active Appearance Models For Affect Recognition Using Facial Expressions". HCI 08 Proceeding of third lasted International Conference on Human Computer Interaction.
  3. Ravi Kumar Bhall,:Detection and Analysis of Facial Micro-Expressions". Computer Vision and Robotics Research Publications.
  4. Manar M. F. Donia, Spontaneous Facial Expression Recognition Based on Histogram of Oriented Gradients Descriptor" Internationl Journal of Computer Vision. .
  5. Vinay Bettadapura, , "Face Expression Recognition and Analysis:The State Of the Art" Published by MECS Publisher.
  6. Chris House and Rachel Meyer, ,"Preprocessing and Descriptor Features for Facial Micro-Expression Recognition"IEEE transaction
  7. Tomas Pfister,Xiaobai Li,Guoying Zhao,Matti Pietikainen, Differentiating Spontaneous from posed facial expressions within a generic facial expression recognition framework" IEEE Transactions on Image Processing, 2016.
  8. Xiaohua Huang, Center, Su-Jing Wang, Guoying Zhao, Matti Pietikainen," Facial Micro-Expression Recognition using Spatiotemporal Local Binary Pattern with Integral Projection" Image and Vision Computing publications.
  9. Ravi Kr. Bhall,Saurabh Singh,Kriti Jain,Vishal Sharma,"Detection and Analysis Of Facial Micro-Expressions Using Image Processing"Engineering Research Publications.
Index Terms

Computer Science
Information Sciences

Keywords

Facial Micro-expression Recognition static Images.