Al-Hassan, Nadia and Jassim, Sabah A. and Sellahewa, Harin (2013) Construction of dictionaries to reconstruct high-resolution images for face recognition. In: 2013 International Conference on Biometrics, ICB 2013, 4-7 Jun 2013, Madrid, Spain.
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Abstract
This paper presents an investigation into the construction of over-complete dictionaries to use in reconstructing a super resolution image from a single input low-resolution image for face recognition at a distance. The ultimate aim is to exploit the recently developed Compressive Sensing (CS) theory to develop scalable face recognition schemes that do not require training. Here we shall demonstrate that dictionaries that satisfy the Restricted Isometry Property (RIP) used for CS can achieve face recognition accuracy levels as good as those achieved by dictionaries that are learned from face image databases using elaborate procedures.
| Item Type: | Conference or Workshop Item (Poster) |
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| Additional Information: | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Uncontrolled Keywords: | Human face Recognition (Computer science) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | School of Computing |
| Depositing User: | Harin Sellahewa |
| Date Deposited: | 18 Aug 2015 14:56 |
| Last Modified: | 09 Jun 2016 10:23 |
| URI: | http://bear.buckingham.ac.uk/id/eprint/67 |
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