Face Recognition Despite Wearing Glasses

In this paper we address the challenge of performing face recognition on human faces that are wearing glasses. This is a common problem for face recognition and automatic identity checking at airports, as passengers frequently forget to remove their glasses when passing through customs. In order to...

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Main Authors: Liang, A., Pathirage, C., Wang, C., Liu, Wan-Quan, Li, L., Duan, J.
Format: Conference Paper
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/46388
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author Liang, A.
Pathirage, C.
Wang, C.
Liu, Wan-Quan
Li, L.
Duan, J.
author_facet Liang, A.
Pathirage, C.
Wang, C.
Liu, Wan-Quan
Li, L.
Duan, J.
author_sort Liang, A.
building Curtin Institutional Repository
collection Online Access
description In this paper we address the challenge of performing face recognition on human faces that are wearing glasses. This is a common problem for face recognition and automatic identity checking at airports, as passengers frequently forget to remove their glasses when passing through customs. In order to solve this problem, we first propose an automatic glasses presence detection model based on the tree-pictorial-structured face detection model and such model can detect the presence of glasses and further assign landmarks on the rim, hinge, and bridge of the glasses on frontal faces. Experimental results show that the glasses detection rate is highly satisfactory for various face databases. Secondly, based on the landmarks on glasses, we apply the non-local colour total variation (CTV) inpainting approach in an attempt to remove the glasses; also, we apply the deep learning technique to further remove the traces of glasses and light reflection on lenses by regarding them as noises. Finally, experiments for face recognition after glasses removal are conducted by using some typical approaches and the results show that our glasses removal framework can improve face recognition accuracy significantly.
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institution Curtin University Malaysia
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publishDate 2016
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spelling curtin-20.500.11937-463882017-09-13T15:34:03Z Face Recognition Despite Wearing Glasses Liang, A. Pathirage, C. Wang, C. Liu, Wan-Quan Li, L. Duan, J. In this paper we address the challenge of performing face recognition on human faces that are wearing glasses. This is a common problem for face recognition and automatic identity checking at airports, as passengers frequently forget to remove their glasses when passing through customs. In order to solve this problem, we first propose an automatic glasses presence detection model based on the tree-pictorial-structured face detection model and such model can detect the presence of glasses and further assign landmarks on the rim, hinge, and bridge of the glasses on frontal faces. Experimental results show that the glasses detection rate is highly satisfactory for various face databases. Secondly, based on the landmarks on glasses, we apply the non-local colour total variation (CTV) inpainting approach in an attempt to remove the glasses; also, we apply the deep learning technique to further remove the traces of glasses and light reflection on lenses by regarding them as noises. Finally, experiments for face recognition after glasses removal are conducted by using some typical approaches and the results show that our glasses removal framework can improve face recognition accuracy significantly. 2016 Conference Paper http://hdl.handle.net/20.500.11937/46388 10.1109/DICTA.2015.7371260 restricted
spellingShingle Liang, A.
Pathirage, C.
Wang, C.
Liu, Wan-Quan
Li, L.
Duan, J.
Face Recognition Despite Wearing Glasses
title Face Recognition Despite Wearing Glasses
title_full Face Recognition Despite Wearing Glasses
title_fullStr Face Recognition Despite Wearing Glasses
title_full_unstemmed Face Recognition Despite Wearing Glasses
title_short Face Recognition Despite Wearing Glasses
title_sort face recognition despite wearing glasses
url http://hdl.handle.net/20.500.11937/46388