CASIA OpenIR  > 09年以前成果
Boosting multi-Gabor subspaces for face recognition
Liu, QS; Jin, HL; Tang, XO; Lu, HQ; Ma, SD; Narayanan, PJ; Nayar, SK; Shum, HY
Source PublicationCOMPUTER VISION - ACCV 2006, PT I
AbstractIn this paper, we propose a new scheme of Gabor-based face recognition. Based on the fact that different Gabor filters have different properties, we first learn discriminating subspace for each kind of Gabor images respectively. Then the boosting learning is performed to fuse all the Gabor discriminating subspaces for recognition. Compared with previous work, the proposed method has three contributions: (I). We make sufficiently use of the respective properties of the Gabor filters, and learn different discriminant subspaces for different Gabor images respectively; (2). Boosting based fusing method adaptively determines the discriminating vectors and dimensionality of each subspace according to its discriminating capacity, so as to further improve the recognition performance; (3). The problem of computational complexity is well handled by subspace analysis and boosting based fusion. Extensive experiments show its encouraging performance.
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000235772300055
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
2.Chinese Univ Hong Kong, Dept Informat Engn, Beijing, Peoples R China
3.Microsoft Res Asia, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Liu, QS,Jin, HL,Tang, XO,et al. Boosting multi-Gabor subspaces for face recognition[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:539-548.
APA Liu, QS.,Jin, HL.,Tang, XO.,Lu, HQ.,Ma, SD.,...&Shum, HY.(2006).Boosting multi-Gabor subspaces for face recognition.COMPUTER VISION - ACCV 2006, PT I,3851,539-548.
MLA Liu, QS,et al."Boosting multi-Gabor subspaces for face recognition".COMPUTER VISION - ACCV 2006, PT I 3851(2006):539-548.
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