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

作者：Flitton Greg^*; Breckon Toby P; Megherbi Najla

来源：Pattern Recognition, 2013, 46(9): 2420-2436.

DOI：10.1016/j.patcog.2013.02.008

• CT baggage scan
• Threat detection
• Object recognition
• 3D feature descriptors
• CT object recognition
• 3D SIFT

We 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.

• 出版日期2013-9