Colour-feature dual discriminating correlation analysis for face recognition
- Author(s): Qian Liu 1
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View affiliations
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Affiliations:
1:
Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, No. 219 Ningliu Road, Nanjing 210044, People's Republic of China
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Affiliations:
1:
Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, No. 219 Ningliu Road, Nanjing 210044, People's Republic of China
- Source:
Volume 9, Issue 4,
August 2015,
p.
467 – 475
DOI: 10.1049/iet-cvi.2013.0302 , Print ISSN 1751-9632, Online ISSN 1751-9640
How to effectively utilise the colour image information and extract useful features is the key to colour face recognition. In this study, the authors propose a novel colour face recognition approach named colour-feature dual discriminating correlation analysis, which incorporates correlation metric into the discriminant analysis technique, and realises colour-feature discriminating correlation analysis not only within each colour component but also between different components. The public face recognition grand challenge version 2 database is employed as the test data. Experimental results illustrate that the proposed approach outperforms several representative colour face recognition methods.
Inspec keywords: feature extraction; correlation methods; face recognition; image colour analysis
Other keywords: discriminant analysis technique; colour component; feature extraction; correlation metric; public face recognition grand challenge version 2 database; colour face recognition; colour image information; colour-feature dual discriminating correlation analysis
Subjects: Image recognition; Computer vision and image processing techniques
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