Title :
Towards incremental and large scale face recognition
Author :
Yan, Junjie ; Lei, Zhen ; Yi, Dong ; Li, Stan Z.
Author_Institution :
Center for Biometrics & Security Res., Inst. of Autom., Beijing, China
Abstract :
Linear discriminant analysis with nearest neighborhood classifier (LDA + NN) has been commonly used in face recognition, but it often confronts with two problems in real applications: (1) it cannot incrementally deal with the in- formation of training instances; (2) it cannot achieve fast search against large scale gallery set. In this paper, we use incremental LDA (ILDA) and hashing based search method to deal with these two problems. Firstly two incremental LDA algorithms are proposed under spectral regression framework, namely exact incremental spectral regression discriminant analysis (EI-SRDA) and approximate incremental spectral regression discriminant analysis (AI- SRDA). Secondly we propose a similarity hashing algorithm of sub-linear complexity to achieve quick recognition from large gallery set. Experiments on FRGC and self-collected 100,000 faces database show the effective of our methods.
Keywords :
cryptography; face recognition; regression analysis; search problems; visual databases; AI-SRDA; EI-SRDA; approximate incremental spectral regression discriminant analysis; face database; gallery set; hashing based search method; incremental LDA; incremental face recognition; incremental spectral regression discriminant analysis; large scale face recognition; similarity hashing algorithm; sublinear complexity; Artificial neural networks; Face; Manganese;
Conference_Titel :
Biometrics (IJCB), 2011 International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-1358-3
Electronic_ISBN :
978-1-4577-1357-6
DOI :
10.1109/IJCB.2011.6117583