Local descriptors in application to the aging problem in face recognition

被引：56

作者：

Bereta, Michal ^{[1
,2
]}

Karczmarek, Pawel ^{[1
,3
]}

Pedrycz, Witold ^{[1
,4
]}

Reformat, Marek ^{[1
]}

机构：

[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada

[2] Krakow Tech Univ, Inst Comp Sci, PL-31155 Krakow, Poland

[3] John Paul II Cathol Univ Lublin, Inst Math & Comp Sci, PL-20950 Lublin, Poland

[4] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland

来源：

PATTERN RECOGNITION | 2013年 / 46卷 / 10期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Face recognition; Face detection; Aging process; Local descriptors; Local binary patterns; Gabor wavelets; GABOR WAVELETS; PERFORMANCE EVALUATION; DISTANCE MEASURES; INTEREST REGIONS; AGE PROGRESSION; REPRESENTATION; IMAGE; EIGENFACES; SIMULATION; HISTOGRAM;

D O I：

10.1016/j.patcog.2013.03.010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Local descriptors are widely used in face recognition due to their robustness to changes in expression or occlusion in facial images. In this paper, a comparison of local descriptors commonly used in face recognition methods is presented in the context of age changes of individuals. We quantify abilities of local descriptors used in face recognition in the context of age discrimination. The performance of the descriptors is evaluated by experimenting with the FG-NET database. We present the results for different age groups and for various age differences of individuals present in the training and testing images. The values of recognition accuracy are reported in combination with various similarity measures used for classification purposes. Moreover, the performance of the descriptors combined with Gabor wavelet images is tested. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：2634 / 2646

页数：13

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