Fusion of uncorrelated discriminant vectors, correlated discriminant vectors, and kernelized discriminant vectors

Yuwang Yang; Jingyu Yang

doi:10.1117/12.538860

25 September 2003 Fusion of uncorrelated discriminant vectors, correlated discriminant vectors, and kernelized discriminant vectors

Yuwang Yang, Jingyu Yang

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538860
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

In this paper we obtain higher pattern analysis through the fusion of uncorrelated discriminant vectors, correlated discriminant vectors and kernelized discriminant vectors by some fusion theory and technology which is carried out by some estimation method of multi-feature. Based on some different features such as linear and non-linear features, correlated and uncorrelated features, one estimation method of multi-feature is proposed to fuse these different vectors. Finally experiments on human face recognition are carried out and prove our methods to be available.

Citation Download Citation

Yuwang Yang and Jingyu Yang "Fusion of uncorrelated discriminant vectors, correlated discriminant vectors, and kernelized discriminant vectors", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538860

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