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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3EERDGB
Repositorysid.inpe.br/sibgrapi/2013/07.13.02.03
Metadatasid.inpe.br/sibgrapi/2013/07.13.02.03.16
Sitesibgrapi.sid.inpe.br
Citation KeyMouraGomeCarv:2013:ImFaVe
Author1 Moura, Eduardo Santiago
2 Gomes, Herman Martins
3 de Carvalho, Joćo Marques
Affiliation1 Federal University of Campina Grande
2 Federal University of Campina Grande
3 Federal University of Campina Grande
TitleAn Improved Face Verification Approach based on Speedup Robust Features and Pairwise Matching
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Year2013
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Book TitleProceedings
DateAug. 5-8, 2013
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationArequipa, Peru
Keywordsspeedup robust features, pairwise matching, face verification, Labeled Faces in the Wild, unsupervised protocol.
AbstractHuman faces are known to present large variability due to factors like pose and facial expression variations, changes in illumination and occlusion, among others, thus making face verification a very challenging problem. In this paper we address the problem of face verification with special interest on how to reduce degradation usually associated with face images acquired under uncontrolled environments. The approach we propose in this paper starts with a preprocessing step to correct in-plane face orientation and to compensate for illumination changes. SURF features are then extracted, which adds to the method a certain degree of invariance to pose, facial expression and other sources of variation. Taking the SURF features as input, an original pairwise face matching procedure is performed. The resulting matching scores are stored in a similarity matrix, which is then evaluated. An experimental study has revealed that the proposed approach produced the best ROC curve when compared to published work regarding the unsupervised setup of the Labeled Faces in the Wild (LFW) face database.
Languageen
Tertiary TypeFull Paper
FormatOn-line.
Size442 KiB
Number of Files1
Target FileMouraGomesCarvalhov2.0 (1).pdf
Last Update2013:07.13.02.03.16 sid.inpe.br/banon/2001/03.30.15.38 hmg@computacao.ufcg.edu.br
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History2013-07-13 02:03:16 :: hmg@computacao.ufcg.edu.br -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
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