Stentiford, F;
(2014)
Face Recognition by Detection of Matching Cliques of Points.
In: Niel, KS and Bingham, PR, (eds.)
Image Processing: Machine Vision Applications VII.
(pp. 90240K).
SPIE: San Francisco, California, U.S..
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Abstract
This paper addresses the problem of face recognition using a graphical representation to identify structure that is common to pairs of images. Matching graphs are constructed where nodes correspond to image locations and edges are dependent on the relative orientation of the nodes. Similarity is determined from the size of maximal matching cliques in pattern pairs. The method uses a single reference face image to obtain recognition without a training stage. The Yale Face Database A is used to compare performance with earlier work on faces containing variations in expression, illumination, occlusion and pose and for the first time obtains a 100% correct recognition result.
| Type: | Proceedings paper |
|---|---|
| Title: | Face Recognition by Detection of Matching Cliques of Points |
| Event: | IS&T/SPIE Electronic Imaging 2014 |
| Location: | San Francisco, CA |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2036422 |
| Publisher version: | http://dx.doi.org/10.1117/12.2036422 |
| Language: | English |
| Additional information: | © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Physical Sciences, Engineering, Electrical & Electronic, Optics, Imaging Science & Photographic Technology, Engineering, Face recognition, pattern recognition, similarity, human vision, graph matching, Active Appearance Models |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1427719 |
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