Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1201
| Title: | Bi-directional PCA with assembled matrix distance metric | Authors: | Zuo, W Wang, K Zhang, DD |
Issue Date: | 2005 | Source: | 2005 ICIP : 2005 International Conference on Image Processing (ICIP) : September 11-14, 2005, Genova, Italy, v. 2, p. 958-961 | Abstract: | Principal Component Analysis (PCA) has been very successful in image recognition. Recent researches on PCA-based methods are mainly concentrated on two issues, feature extraction and classification. In this paper we propose Bi-Directional PCA (BDPCA) with assembled matrix distance (AMD) metric to simultaneously deal with these two issues. For feature extraction, we propose a BDPCA approach which can reduce the dimension of the original image matrix in both column and row directions. For classification, we present an AMD metric to calculate the distance between two feature matrices. The results of our experiments show that, BDPCA with AMD metric is very effective in image recognition. | Keywords: | PCA 2DPCA Image recognition Face recognition Palmprint recognition |
Publisher: | IEEE | ISBN: | 0-7803-9134-9 | Rights: | © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Conference Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| bi-dierectional-pca_05.pdf | 272.89 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
113
Last Week
2
2
Last month
Citations as of May 28, 2023
Downloads
162
Citations as of May 28, 2023
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.