Modified SIFT Descriptors for Face Recognition under Different Emotions

The main goal of this work is to develop a fully automatic face recognition algorithm. Scale Invariant Feature Transform (SIFT) has sparingly been used in face recognition. In this paper, a Modified SIFT (MSIFT) approach has been proposed to enhance the recognition performance of SIFT. In this paper...

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Main Authors: Nirvair Neeru, Lakhwinder Kaur
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Engineering
Online Access:http://dx.doi.org/10.1155/2016/9387545
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author Nirvair Neeru
Lakhwinder Kaur
author_facet Nirvair Neeru
Lakhwinder Kaur
author_sort Nirvair Neeru
collection DOAJ
description The main goal of this work is to develop a fully automatic face recognition algorithm. Scale Invariant Feature Transform (SIFT) has sparingly been used in face recognition. In this paper, a Modified SIFT (MSIFT) approach has been proposed to enhance the recognition performance of SIFT. In this paper, the work is done in three steps. First, the smoothing of the image has been done using DWT. Second, the computational complexity of SIFT in descriptor calculation is reduced by subtracting average from each descriptor instead of normalization. Third, the algorithm is made automatic by using Coefficient of Correlation (CoC) instead of using the distance ratio (which requires user interaction). The main achievement of this method is reduced database size, as it requires only neutral images to store instead of all the expressions of the same face image. The experiments are performed on the Japanese Female Facial Expression (JAFFE) database, which indicates that the proposed approach achieves better performance than SIFT based methods. In addition, it shows robustness against various facial expressions.
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institution Kabale University
issn 2314-4904
2314-4912
language English
publishDate 2016-01-01
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series Journal of Engineering
spelling doaj-art-71f8b96f11904c2f98f10c3f6fcd4c862025-02-03T05:43:52ZengWileyJournal of Engineering2314-49042314-49122016-01-01201610.1155/2016/93875459387545Modified SIFT Descriptors for Face Recognition under Different EmotionsNirvair Neeru0Lakhwinder Kaur1Punjabi University, Patiala 147002, IndiaPunjabi University, Patiala 147002, IndiaThe main goal of this work is to develop a fully automatic face recognition algorithm. Scale Invariant Feature Transform (SIFT) has sparingly been used in face recognition. In this paper, a Modified SIFT (MSIFT) approach has been proposed to enhance the recognition performance of SIFT. In this paper, the work is done in three steps. First, the smoothing of the image has been done using DWT. Second, the computational complexity of SIFT in descriptor calculation is reduced by subtracting average from each descriptor instead of normalization. Third, the algorithm is made automatic by using Coefficient of Correlation (CoC) instead of using the distance ratio (which requires user interaction). The main achievement of this method is reduced database size, as it requires only neutral images to store instead of all the expressions of the same face image. The experiments are performed on the Japanese Female Facial Expression (JAFFE) database, which indicates that the proposed approach achieves better performance than SIFT based methods. In addition, it shows robustness against various facial expressions.http://dx.doi.org/10.1155/2016/9387545
spellingShingle Nirvair Neeru
Lakhwinder Kaur
Modified SIFT Descriptors for Face Recognition under Different Emotions
Journal of Engineering
title Modified SIFT Descriptors for Face Recognition under Different Emotions
title_full Modified SIFT Descriptors for Face Recognition under Different Emotions
title_fullStr Modified SIFT Descriptors for Face Recognition under Different Emotions
title_full_unstemmed Modified SIFT Descriptors for Face Recognition under Different Emotions
title_short Modified SIFT Descriptors for Face Recognition under Different Emotions
title_sort modified sift descriptors for face recognition under different emotions
url http://dx.doi.org/10.1155/2016/9387545
work_keys_str_mv AT nirvairneeru modifiedsiftdescriptorsforfacerecognitionunderdifferentemotions
AT lakhwinderkaur modifiedsiftdescriptorsforfacerecognitionunderdifferentemotions