DocumentCode :
3186018
Title :
Can discriminative cues aid face recognition across age?
Author :
Mahalingam, Gayathri ; Kambhamettu, Chandra
Author_Institution :
Video/Image Modeling & Synthesis (VIMS) Lab., Univ. of Delaware, Newark, DE, USA
fYear :
2011
fDate :
21-25 March 2011
Firstpage :
206
Lastpage :
212
Abstract :
In this paper, we study the effects of discriminative cues (gender and age) in an image based face recognition system across age. We propose a pipeline framework to prune the search space based on gender and age of the test image to aid the process of recognition. A feature based approach which uses the Gabor phase and magnitude images of the face image is used in face image representation. The Gabor phases and magnitudes are encoded through Local Gabor Binary Pattern (LGBP) histograms. The gender and age group information of the face image is extracted using a random forest classifier based on a confidence measure and are used to prune the search space for efficient recognition. The effects of these discriminative cues are studied using a simple face recognition system in which the recognition is performed by histogram intersection technique which computes a similarity score between the LGBP histograms of two face images. The experiments on the FG-NET dataset and our private dataset show that the discriminative cues can indeed improve the performance of a face recognition system in terms of accuracy, lower time requirements, and graceful degradation.
Keywords :
face recognition; feature extraction; image classification; image representation; pipeline processing; FG-NET dataset; LGBP histogram intersection technique; age group information; face image extraction; face image representation; face recognition; feature based approach; gender group information; image recognition; local Gabor binary pattern histogram; magnitude image; pipeline framework; random forest classifier; Accuracy; Face; Face recognition; Feature extraction; Histograms; Pipelines; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
978-1-4244-9140-7
Type :
conf
DOI :
10.1109/FG.2011.5771399
Filename :
5771399
Link To Document :
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