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

Authors:
Greg Flitton;Toby P. Breckon;Najla Megherbi
Affiliations:
Applied Mathematics and Computing Group, School of Engineering, Cranfield University, Bedfordshire MK43 0AL, UK;Applied Mathematics and Computing Group, School of Engineering, Cranfield University, Bedfordshire MK43 0AL, UK;Applied Mathematics and Computing Group, School of Engineering, Cranfield University, Bedfordshire MK43 0AL, UK
Venue:
Pattern Recognition
Year:
2013

Citing 20
Cited 0

Least-Squares Fitting of Two 3-D Point Sets

IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface shape and curvature scales

Image and Vision Computing
Local Grayvalue Invariants for Image Retrieval

IEEE Transactions on Pattern Analysis and Machine Intelligence
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
Saliency, Scale and Image Description

International Journal of Computer Vision
Explosives detection systems (EDS) for aviation security

Signal Processing
Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Sparse Texture Representation Using Local Affine Regions

IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Features for Object Class Recognition

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
An introduction to ROC analysis

Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Identification of Objects-of-Interest in X-Ray Images

AIPR '06 Proceedings of the 35th Applied Imagery and Pattern Recognition Workshop
A 3-dimensional sift descriptor and its application to action recognition

Proceedings of the 15th international conference on Multimedia
Automatic image analysis process for the detection of concealed weapons

Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
Fundamentals of Computerized Tomography: Image Reconstruction from Projections

Fundamentals of Computerized Tomography: Image Reconstruction from Projections
Visual Word Ambiguity

IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual words on baggage X-ray images

CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
SURF: speeded up robust features

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Improving Weapon Detection in Single Energy X-Ray Images Through Pseudocoloring

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.