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dc.contributor.authorIslam, Shams
dc.contributor.authorDavies, R.
dc.contributor.authorBennamoun, M.
dc.contributor.authorMian, A.
dc.date.accessioned2017-01-30T13:53:06Z
dc.date.available2017-01-30T13:53:06Z
dc.date.created2013-11-20T20:00:28Z
dc.date.issued2011
dc.identifier.citationIslam, Syed M.S. and Davies, Rowan and Bennamoun, Mohammed and Mian, Ajmal J. 2011. Efficient detection and recognition of 3D ears. International Journal of Computer Vision. 95 (1): pp. 52-73.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/36022
dc.identifier.doi10.1007/s11263-011-0436-0
dc.description.abstract

The use of ear shape as a biometric trait is a recent trend in research. However, fast and accurate detection and recognition of the ear are very challenging because of its complex geometry. In this work, a very fast 2D AdaBoost detector is combined with fast 3D local feature matching and fine matching via an Iterative Closest Point (ICP) algorithm to obtain a complete, robust and fully automatic system with a good balance between speed and accuracy. Ear images are detected from 2D profile images using the proposed Cascaded AdaBoost detector. The corresponding 3D ear data is then extracted from the co-registered range image and represented with local 3D features. Unlike previous approaches, local features are used to construct a rejection classifier, to extract a minimal region with feature-rich data points and finally, to compute the initial transformation for matching with the ICP algorithm. The proposed system provides a detection rate of 99.9% and an identification rate of 95.4% on Collection F of the UND database. On a Core 2 Quad 9550, 2.83 GHz machine, it takes around 7.7 ms to detect an ear from a 640×480 image. Extracting features from an ear takes 22.2 sec and matching it with a gallery using only the local features takes 0.06 sec while using the full matching including ICP requires 2.28 sec on average.

dc.publisherSpringer Netherlands
dc.subjectgeometric consistency
dc.subject3D ear recognition
dc.subjectear detection
dc.subject3D local features
dc.subjectbiometrics
dc.titleEfficient detection and recognition of 3D ears
dc.typeJournal Article
dcterms.source.volume95
dcterms.source.number1
dcterms.source.startPage52
dcterms.source.endPage73
dcterms.source.issn09205691
dcterms.source.titleInternational Journal of Computer Vision
curtin.department
curtin.accessStatusFulltext not available


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