ICIDRET 2016

International Conference on Inter Disciplinary Research in Engineering and Technology 2016

 


ICIDRET 2016 Kokula Krishna Hari K
Publication Meta Value
Short Title ICIDRET 2016
Publisher ASDF, India
ISBN 13 978-81-929866-0-9
ISBN 10 81-929866-0-8
Language English
Type Hard Bound - Printed Book
Copyrights ICIDRET Organizers / DCRC, London, UK
Editor-in-Chief Kokula Krishna Hari K
Conference Dates 12 - 13, February 2016
Venue Country DSIIDC, New Delhi, India
Submitted Papers 375
Acceptance Rate 6.00%
Website www.icidret.in

Paper 018


Automatic AU intensity detection/estimation for Facial Expression Analysis: A Review

Automatic AU intensity detection/estimation for Facial Expression Analysis: A Review

Neeru Rathee1, Nishtha1

1Electronics and Communication Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

Abstract

Automatic facial expression analysis is an area of great research especially in the field of computer vision and robotics. In the work done so far, the facial expression analysis is done either by recognizing the facial expression directly or indirectly by first recognizing AUs and then applying this information for facial expression analysis. The various challenges in facial expression analysis are associated with face detection and tracking, facial feature extraction and the facial feature classification. The presented review gives a brief description of the time line view of the research work carried for AU detection/estimation in static and dynamic image sequences and possible solutions proposed by researchers in this field since 2002. In short, the paper will provide an impetus for various challenges and applications of AU detection, and new research topics, which will increase the productivity in this exciting and challenging field.

Author's Profile

Neeru Rathee : Profile

Nishtha : Profile

Cite this Article as Follows

Neeru Rathee, Nishtha."Automatic AU intensity detection/estimation for Facial Expression Analysis: A Review." International Conference on Inter Disciplinary Research in Engineering and Technology (2016): 83-88. Print.