Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection

Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection

We propose a robust face recognition method under illumination variation. By using shadow compensation methods, we restore the image of a facial image taken under arbitrary illumination into an image that is similar to the image taken with frontal illumination. Then we apply a pixel selection method...

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Bibliographic Details
Main Author: Sang-Il Choi
Format: Article
Language:English
Published: SAGE Publishing 2012-10-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/52939
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spelling doaj-66ca23dcebdc4fbb88deb2224b589fb72020-11-25T03:43:55ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142012-10-01910.5772/5293910.5772_52939Face Recognition under Illumination Variation Using Shadow Compensation and Pixel SelectionSang-Il Choi0 Department of Applied Computer Engineering, Dankook University, 126 Jukjeon-dong, Suji-gu, Yongin-si, Gyeonggi-do, KoreaWe propose a robust face recognition method under illumination variation. By using shadow compensation methods, we restore the image of a facial image taken under arbitrary illumination into an image that is similar to the image taken with frontal illumination. Then we apply a pixel selection method to these restored images in order to reduce the noise components, which can interfere with the extraction of discriminant features for face recognition. The experimental results for the CMU-PIE, Yale B and Multi-PIE databases show that the proposed method results in the improvement of recognition performance under illumination variation.https://doi.org/10.5772/52939
collection DOAJ
language English
format Article
sources DOAJ
author Sang-Il Choi
spellingShingle Sang-Il Choi
Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
International Journal of Advanced Robotic Systems
author_facet Sang-Il Choi
author_sort Sang-Il Choi
title Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
title_short Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
title_full Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
title_fullStr Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
title_full_unstemmed Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
title_sort face recognition under illumination variation using shadow compensation and pixel selection
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2012-10-01
description We propose a robust face recognition method under illumination variation. By using shadow compensation methods, we restore the image of a facial image taken under arbitrary illumination into an image that is similar to the image taken with frontal illumination. Then we apply a pixel selection method to these restored images in order to reduce the noise components, which can interfere with the extraction of discriminant features for face recognition. The experimental results for the CMU-PIE, Yale B and Multi-PIE databases show that the proposed method results in the improvement of recognition performance under illumination variation.
url https://doi.org/10.5772/52939
work_keys_str_mv AT sangilchoi facerecognitionunderilluminationvariationusingshadowcompensationandpixelselection
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