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DC Field | Value | Language |
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dc.contributor.author | Li, Y | - |
dc.contributor.author | Gong, S | - |
dc.contributor.author | Liddell, H | - |
dc.date.accessioned | 2017-04-06T11:11:41Z | - |
dc.date.available | 2001 | - |
dc.date.available | 2017-04-06T11:11:41Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Image and Vision Computing, pp. 613 - 622, (2003) | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/14382 | - |
dc.description.abstract | We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating features, and recognising moving faces dynamically in image sequences. A multi-view dynamic face model is designed to extract the shape-and-pose-free facial texture patterns. Kernel Discriminant Analysis, which employs the kernel technique to perform Linear Discriminant Analysis in a high-dimensional feature space, is developed to extract the significant non-linear features which maximise the between-class variance and minimise the within-class variance. Finally, an identity surface based face recognition is performed dynamically from video input by matching object and model trajectories. | en_US |
dc.format.extent | 613 - 622 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.source | British Machine Vision Conference | - |
dc.source | British Machine Vision Conference | - |
dc.title | Recognising trajectories of facial identities using kernel discriminant analysis | en_US |
dc.type | Article | en_US |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
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Fulltext.pdf | 684.61 kB | Adobe PDF | View/Open |
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