UM  > Faculty of Science and Technology
Quaternion decomposition based discriminant analysis for color face recognition
Lan R.; Zhou Y.
Conference NameIEEE International Conference on Systems, Man, and Cybernetics (SMC)
Source Publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
Conference DateOCT 09-12, 2016
Conference PlaceBudapest, HUNGARY

In this paper, we propose a novel quaternion decomposition based discriminant analysis (QDDA) method for color face recognition. Unlike traditional approaches that handle color face images by vector representation or by each color channel individually, QDDA makes use of the quaternion to encode all color channels such that we can process all these channels in a holistic way and consider their relations simultaneously. In order to extract more discriminant color information from the image, a decomposition operation is performed to the quaternion matrix. A linear discriminant analysis is finally implemented to the obtained subcomponents for feature extraction. Experimental results have demonstrated the effectiveness of QDDA by comparing with other quaternion based methods.

URLView the original
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics ; Computer Science, Information Systems
WOS IDWOS:000402634701125
Fulltext Access
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Science and Technology
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Lan R.,Zhou Y.. Quaternion decomposition based discriminant analysis for color face recognition[C],2017:1833-1837.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lan R.]'s Articles
[Zhou Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lan R.]'s Articles
[Zhou Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lan R.]'s Articles
[Zhou Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.