Title :
High-dimensional discriminant analysis and its application to color face images
Author_Institution :
Dept. of Comput., Harbin Inst. of Technol.
Abstract :
Multilinear algebra plays an important role in signal processing. In this paper, a multilinear generalization of linear discriminant analysis is discussed. Similar to HOSVD, an iterative algorithm is developed for solving high-dimensional linear discriminant analysis. Meanwhile, a non-iterative algorithm is also proposed. In addition, HDLDA provides a unified framework for classical LDA and 2DLDA. Experimental results on color face images show the effectiveness and usefulness of the proposed method
Keywords :
image colour analysis; iterative methods; linear algebra; pattern classification; singular value decomposition; HDLDA; color face images; high-dimensional linear discriminant analysis; iterative algorithm; multilinear algebra; noniterative algorithm; signal processing; Algebra; Computer vision; Image analysis; Image color analysis; Iterative algorithms; Linear discriminant analysis; Matrix decomposition; Multidimensional systems; Signal processing algorithms; Tensile stress;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.625
