Article

Face recognition using ada-boosted gabor features

Authors:

Peng Yang,

Shiguang Shan,

Wen Gao,

Stan Z. Li,

Dong ZhangAuthors Info & Claims

FGR' 04: Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Pages 356 - 361

Published: 17 May 2004 Publication History

Abstract

Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gabor features currently adopted by most systems are redundant and too high dimensional. In this paper, we propose a face recognition method using AdaBoosted Gabor features, which are not only low dimensional but also discriminant. The main contribution of the paper lies in two points: (1) AdaBoost is successfully applied to face recognition by introducing the intra-face and extra-face difference space in the Gabor feature space; (2) An appropriate re-sampling scheme is adopted to deal with the imbalance between the amount of the positive samples and that of the negative samples. By using the proposed method, only hundreds of Gabor features are selected. Experiments on FERET database have shown that these hundreds of Gabor features are enough to achieve good performance comparable to that of methods using the complete set of Gabor features.

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Cited By

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Chen XGao YRen S(2018)A New Contrast Pattern-Based Classification for Imbalanced DataProceedings of the 2nd International Symposium on Computer Science and Intelligent Control10.1145/3284557.3284708(1-6)Online publication date: 21-Sep-2018
https://dl.acm.org/doi/10.1145/3284557.3284708
Liu XLu LShen ZLu K(2018)A novel face recognition algorithm via weighted kernel sparse representationFuture Generation Computer Systems10.1016/j.future.2016.07.00780:C(653-663)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2016.07.007
Lei ZLi S(2012)Learning discriminant face descriptor for face recognitionProceedings of the 11th Asian conference on Computer Vision - Volume Part II10.1007/978-3-642-37444-9_58(748-759)Online publication date: 5-Nov-2012
https://dl.acm.org/doi/10.1007/978-3-642-37444-9_58
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Face recognition using ada-boosted gabor features
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics

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FGR' 04: Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

May 2004

900 pages

ISBN:0769521223

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IEEE Computer Society

United States

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Published: 17 May 2004

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Chen XGao YRen S(2018)A New Contrast Pattern-Based Classification for Imbalanced DataProceedings of the 2nd International Symposium on Computer Science and Intelligent Control10.1145/3284557.3284708(1-6)Online publication date: 21-Sep-2018
https://dl.acm.org/doi/10.1145/3284557.3284708
Liu XLu LShen ZLu K(2018)A novel face recognition algorithm via weighted kernel sparse representationFuture Generation Computer Systems10.1016/j.future.2016.07.00780:C(653-663)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.future.2016.07.007
Lei ZLi S(2012)Learning discriminant face descriptor for face recognitionProceedings of the 11th Asian conference on Computer Vision - Volume Part II10.1007/978-3-642-37444-9_58(748-759)Online publication date: 5-Nov-2012
https://dl.acm.org/doi/10.1007/978-3-642-37444-9_58
Cao DLei ZZhang ZFeng JLi S(2012)Human age estimation using ranking SVMProceedings of the 7th Chinese conference on Biometric Recognition10.1007/978-3-642-35136-5_39(324-331)Online publication date: 4-Dec-2012
https://dl.acm.org/doi/10.1007/978-3-642-35136-5_39
Cadavid SZhou JAbdel-Mottaleb M(2009)Determining discriminative anatomical point pairings using adaboost for 3D face recognitionProceedings of the 16th IEEE international conference on Image processing10.5555/1818719.1818751(49-52)Online publication date: 7-Nov-2009
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Lu HPlataniotis KVenetsanopoulos A(2009)Boosting discriminant learners for gait recognition using MPCA featuresJournal on Image and Video Processing10.1155/2009/7131832009(2-2)Online publication date: 1-Jan-2009
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Zhu CChen WZhu ZWang GWang DChen ZCheung DSong IChu WHu XLin J(2009)A general magnitude-preserving boosting algorithm for search rankingProceedings of the 18th ACM conference on Information and knowledge management10.1145/1645953.1646057(817-826)Online publication date: 2-Nov-2009
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Du SWard R(2009)Improved face representation by nonuniform multilevel selection of Gabor convolution featuresIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics10.1109/TSMCB.2009.201813739:6(1408-1419)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1109/TSMCB.2009.2018137
Su YShan SChen XGao W(2009)Hierarchical ensemble of global and local classifiers for face recognitionIEEE Transactions on Image Processing10.1109/TIP.2009.202173718:8(1885-1896)Online publication date: 1-Aug-2009
https://dl.acm.org/doi/10.1109/TIP.2009.2021737
Xie SShan SChen XMeng XGao W(2009)Learned local Gabor patterns for face representation and recognitionSignal Processing10.1016/j.sigpro.2009.02.01689:12(2333-2344)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1016/j.sigpro.2009.02.016
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