A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery

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dc.contributor.authorFlitton, Greg T.
dc.contributor.authorBreckon, Toby P.
dc.contributor.authorMegherbi, Najla
dc.date.accessioned2020-03-03T16:50:47Z
dc.date.available2020-03-03T16:50:47Z
dc.date.issued2013-02-16
dc.description.abstractWe present an experimental comparison of 3D feature descriptors with application to threat detection in Computed Tomography (CT) airport baggage imagery. The detectors range in complexity from a basic local density descriptor, through local region histograms and three-dimensional (3D) extensions to both to the RIFT descriptor and the seminal SIFT feature descriptor. We show that, in the complex CT imagery domain containing a high degree of noise and imaging artefacts, a specific instance object recognition system using simpler descriptors appears to outperform a more complex RIFT/SIFT solution. Recognition rates in excess of 95% are demonstrated with minimal false-positive rates for a set of exemplar 3D objects.en_UK
dc.identifier.citationFlitton GT, Breckon TP, Megherbi Baouallagui N. (2013) A comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imagery. Pattern Recognition, Volume 46, Issue 9, September 2013, pp. 2420-2436en_UK
dc.identifier.issn0031-3203
dc.identifier.urihttps://doi.org/10.1016/j.patcog.2013.02.008
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15213
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCT baggage scanen_UK
dc.subjectThreat detectionen_UK
dc.subjectObject recognitionen_UK
dc.subject3D feature descriptorsen_UK
dc.subjectCT object SIFTen_UK
dc.titleA comparison of 3D interest point descriptors with application to airport baggage object detection in complex CT imageryen_UK
dc.typeArticleen_UK

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