Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)(2021)

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Automatic prohibited object detection within 2D/3D X-ray Computed Tomography (CT) has been studied in literature to enhance the aviation security screening at checkpoints. Deep Convolutional Neural Networks (CNN) have demonstrated superior performance in 2D X-ray imagery. However, there exists very limited proof of how deep neural networks perform in materials detection within volumetric 3D CT bag...
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Key words
Point cloud compression,Deep learning,Three-dimensional displays,Computed tomography,Semantics,Neural networks,Convolutional neural networks
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