Title :
Client Specific Kernel Discriminant Analysis (CSKDA) Algorithm for Face Verification
Author :
Xiao-Jun Wu ; Shi-Tong Wang ; Kieron, J.K. ; Jing-Yu Yang
Author_Institution :
Sch. of Electron. & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang
Abstract :
In this paper the client specific kernel discriminant analysis (CSKDA) is studied. The theory of CSKDA, which is the nonlinear model of the previously suggested model of client specific linear discriminant analysis, is proposed by using kernel technique. A new CSKDA subspace method is developed in order to reduce the computational complexity. Results of experiments conducted on the internationally recognized facial database of XM2VTS based on the Lausanne protocol show the effectiveness of the proposed methods of client specific kernel discriminant analysis
Keywords :
computational complexity; face recognition; visual databases; Lausanne protocol; client specific kernel discriminant analysis; computational complexity; face verification; facial database; Algorithm design and analysis; Face recognition; Humans; Image analysis; Information analysis; Kernel; Linear discriminant analysis; Pattern recognition; Principal component analysis; Signal processing algorithms;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614918
