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Reseach Article

A Literature Review on Facial and Expression Recognition with Advanced Image Descriptor Template

Published on October 2015 by Pranjali S. Bele, and Prakash S. Mohod
International Conference on Advancements in Engineering and Technology (ICAET 2015)
Foundation of Computer Science USA
ICQUEST2015 - Number 5
October 2015
Authors: Pranjali S. Bele, and Prakash S. Mohod
2c2a8d24-efa4-4155-a02c-1096c6258177

Pranjali S. Bele, and Prakash S. Mohod . A Literature Review on Facial and Expression Recognition with Advanced Image Descriptor Template. International Conference on Advancements in Engineering and Technology (ICAET 2015). ICQUEST2015, 5 (October 2015), 1-3.

@article{
author = { Pranjali S. Bele, and Prakash S. Mohod },
title = { A Literature Review on Facial and Expression Recognition with Advanced Image Descriptor Template },
journal = { International Conference on Advancements in Engineering and Technology (ICAET 2015) },
issue_date = { October 2015 },
volume = { ICQUEST2015 },
number = { 5 },
month = { October },
year = { 2015 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/icquest2015/number5/23005-2888/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology (ICAET 2015)
%A Pranjali S. Bele
%A and Prakash S. Mohod
%T A Literature Review on Facial and Expression Recognition with Advanced Image Descriptor Template
%J International Conference on Advancements in Engineering and Technology (ICAET 2015)
%@ 0975-8887
%V ICQUEST2015
%N 5
%P 1-3
%D 2015
%I International Journal of Computer Applications
Abstract

The most recent advancement of both software and hardware technologies has created more demand for personalized interaction. Finding efficient facial features to represent face appearance is the most critical aspect in face recognition. Automatic facial expression recognition has become a progressive research area since it plays a vital role in the human-computer-interaction where the facial expression recognition finds huge application in areas like social interaction and social intelligence. A review of various descriptors and techniques used in facial expression recognition like the Gradient faces,local features, local binary pattern (LBP), local ternary pattern(LTP), local directional pattern (LDiP)and Local derivative pattern (LDeP) is discussed here, and out of all LDN (Local Directional number pattern a local featuredescriptor),forfaceanalysis acts efficiently which helps to encode the directional informationof theface'stexturesinquite better compact way,which produces more discriminativecodecompared to current methods. Additionally, for facial expression recognition (FER) we introduced tensor perceptual color framework (TPCF), which is based on information contains in color facial images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Local Pattern Tensor Approach Log-gabor Filter Face Recognition Lbp Ltp Ldn.