Abstract
The standard PCA was always used as baseline algorithm to evaluate ICA-based face recognition systems in the previous research. In this paper, we examine the two architectures of ICA for image representation and find that ICA Architecture I involves a PCA process by vertically centering (PCA I), while ICA Architecture II involves a whitened PCA process by horizontally centering (PCA II). So, it is reasonable to use these two PCA versions as baseline algorithms to revaluate the ICA-based face recognition systems. The experiments were performed on the FERET face database. The experimental results show there is no significant performance differences between ICA Architecture I (II) and PCA I (II), although ICA Architecture II significantly outperforms the standard PCA. It can be concluded that the performance of ICA strongly depends on its involved PCA process. The pure ICA projection has little effect on the performance of face recognition.
Original language | English |
---|---|
Title of host publication | Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 |
Pages | 198-203 |
Number of pages | 6 |
Volume | I |
DOIs | |
Publication status | Published - 1 Dec 2005 |
Event | Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 - Beijing, China Duration: 17 Oct 2005 → 20 Oct 2005 |
Conference
Conference | Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 |
---|---|
Country/Territory | China |
City | Beijing |
Period | 17/10/05 → 20/10/05 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition