CASIA OpenIR  > 09年以前成果
Boosting statistical local feature based classifiers for face recognition
Huang, XS; Wang, YS; Marques, JS; PerezdelaBlanca, N; Pina, P
Source PublicationPATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS
2005
Volume3523Pages:51-58
SubtypeArticle
AbstractIn this work, we present a novel approach for face recognition which use boosted statistical local Gabor feature based classifiers. Firstly, two Gabor parts, real part and imaginary part, are extracted for each pixel of face images. The two parts are transformed into two kinds of Gabor features, magnitude feature and phase feature. 40 magnitude Gaborfaces and 40 phase Gaborfaces are generated for each face image by convoluting face images with five scales and eight orientations Gabor filters. Then these Gaborfaces are scanned with a sub-window from which the quantified Gabor features histograms are extracted representing efficiently the face image. The multi-class problem of face recognition is transformed into a two-class one of intra-and extra-class classification using intra-personal and extra-personal images, as in [5]. The intra/extra features are constructed based on these histograms of two different face images with Chi square statistic as dissimilarity measure. A strong classifier is learned using boosting examples, similar to the way in face detection framework [10]. Experiments on FERET database show good results comparable to the best one reported in literature [6].
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000230027000007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9177
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, CASIA, SAIT,HCI Joint Lab, Beijing 10080, Peoples R China
Recommended Citation
GB/T 7714
Huang, XS,Wang, YS,Marques, JS,et al. Boosting statistical local feature based classifiers for face recognition[J]. PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS,2005,3523:51-58.
APA Huang, XS,Wang, YS,Marques, JS,PerezdelaBlanca, N,&Pina, P.(2005).Boosting statistical local feature based classifiers for face recognition.PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS,3523,51-58.
MLA Huang, XS,et al."Boosting statistical local feature based classifiers for face recognition".PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS 3523(2005):51-58.
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