Extending Concentricity Analysis by Deformable Templates for Improved Eye Extraction
Benn, D. E., Nixon, M. S. and Carter, J. N. (1999) Extending Concentricity Analysis by Deformable Templates for Improved Eye Extraction. Proceedings of the Second International Conference on Audio- and Video-Based Biometric Person Authentication AVBPA99 IAPR, 1-6.
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We present a new two stage approach to extracting human eyes from face image by structure alone, without priming on likely position. First a concentricity map of the face is created; the eyes are usually amongst the highest peaks of this map. Next, the energy of a deformable eye template, initialised at concentricity peaks, is optimised using a genetic algorithm. The two highest energy locations are deemed to contain the eyes. We have improved the robustness of an earlier concentricity map and improved Yuille et al's eye template model by removing two parameters whilst also removing the template's dependency on internal energies. Our enhancements has been verified on a database of one thousand full frontal face images, yielding a success rate just exceeding 90% correct eye extraction.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||22 Nov 1999|
|Last Modified:||02 Mar 2012 12:18|
|Contributors:||Benn, D. E. (Author)
Nixon, M. S. (Author)
Carter, J. N. (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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