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

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

Cited 1|Views12
No score
Abstract
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...
More
Translated text
Key words
Point cloud compression,Deep learning,Three-dimensional displays,Computed tomography,Semantics,Neural networks,Convolutional neural networks
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined