NDLI: Facial expression recognition with auto-illumination correction

Content Provider	IEEE Xplore Digital Library
Author	Kumar, S.A. Thyaghrajan, K.K.
Copyright Year	2013
Description	Author affiliation: R.M.D. Eng. Coll., Chennai, India (Thyaghrajan, K.K.) \|\| S.M.K. Fomra Inst. of Technol., Chennai, India (Kumar, S.A.)
Abstract	Past researchers have shown maximum recognition rates given the static images and techniques to recognize face and related features of the face. Yet, these research though contribute and motivate greatly to building effective future systems, fail to address the temporal dynamics of the face to enhance the system's training. In this paper, analyzing the facial expression on a given face from an image automatically and produces the result stating the emotion on the subject's face. Face is recognized using the skin and chrominance of the extracted image and the image is cropped. Expressions on the face are determined using the localization of points called Action Units (AUs) internally without labeling them. Though AUs are found to be effective, most expressions on the face have shown to overlap these points thereby curbing the recognition. Using a mapping technique, the extracted eyes and mouth are mapped together. Illumination on an image plays a vital role in highlighting the portrait and therefore is a barrier when extracting the facial features. This is a delimiter while analyzing the face. This limitation is removed and automatically corrected using a Color Constancy Algorithm with minkowski norms. The experimental results show better face detection rate under variable luminance levels. The system was tested against a collection of faces both containing single face images and multiple faces in a scene. We achieved a recognition rate of 60% when detecting in a multiple face image.
Starting Page	843
Ending Page	846
File Size	484757
Page Count	4
File Format	PDF
e-ISBN	9781467361262
DOI	10.1109/ICGCE.2013.6823551
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-12
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Face recognition Mouth Action Unit Facial Expression Feature extraction Skin Face Face detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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