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2008
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Representative feature chain for single gallery image face recognition

10 years 6 months ago
Representative feature chain for single gallery image face recognition
Under the constraint of using only a single gallery image per person, this paper proposes a fast multi-class pattern classification approach to 2D face recognition robust to changes in pose, illumination, and expression (PIE). This work has three main contributions: (1) we propose a representative face space method to extract robust features, (2) we apply a learning method to weight features in pairs, (3) we combine the feature pairs into a feature chain in order to find the weights for all features. The approach is evaluated for face recognition under PIE changes on three public databases. Results show that the method performs considerably better than several other appearance-based methods and can reliably recognise faces at large pose angles without the need for fragile pose estimation pre-processing. Moreover, computational load is low (comparable to standard eigenface methods), which is a critical factor in wide-area surveillance applications.
Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C.
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C. Lovell
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