A 3D extension to cortex like mechanisms for 3D object class recognition

dc.contributor.authorFlitton, Greg T.-
dc.contributor.authorBreckon, Toby P.-
dc.contributor.authorMegherbi, Najla-
dc.date.accessioned2013-01-22T23:01:48Z
dc.date.available2013-01-22T23:01:48Z
dc.date.issued2012-06-21T00:00:00Z-
dc.description.abstractWe introduce a novel 3D extension to the hierarchical visual cortex model used for prior work in 2D object recognition. Prior work on the use of the visual cortex standard model for the explicit task of object class recognition has solely concentrated on 2D imagery. In this paper we discuss the explicit 3D extension of each layer in this visual cortex model hierarchy for use in object recognition in 3D volumetric imagery. We apply this extended methodology to the automatic detection of a class of threat items in Computed Tomography (CT) security baggage imagery. The CT imagery suffers from poor resolution and a large number of artefacts generated through the presence of metallic objects. In our examination of recognition performance we make a comparison to a codebook approach derived from a 3D SIFT descriptor and demonstrate that the visual cortex method out-performs in this imagery. Recognition rates in excess of 95% with minimal false positive rates are demonstrated in the detection of a range of threat itemsen_UK
dc.identifier.citationFlitton GT, Breckon TP, Megherbi N. (2012) A 3D extension to cortex like mechanisms for 3D object class recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, 16-21 June 2012, pp. 3634-3641
dc.identifier.isbn9781467312264-
dc.identifier.urihttp://dx.doi.org/10.1109/CVPR.2012.6248109-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/7763
dc.subjecthmax, automatic baggage screening, 3D object recognition, 3D baggage classification, CT baggage scanning, threat detection in baggageen_UK
dc.titleA 3D extension to cortex like mechanisms for 3D object class recognitionen_UK
dc.typeConference paper-

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