研究目的
To analyze two positioning techniques applicable to mm-wave portable scanners, one based on photogrammetry and another relying on a RGB-D camera, and evaluate their accuracy in security screening applications.
研究成果
Both positioning techniques achieve good accuracy under appropriate conditions, with relative errors under 11% between consecutive positions. The portable scanner can accurately merge mm-wave images to detect hidden threats, even in cases of flat textures.
研究不足
Photogrammetry-based techniques may fail or lose accuracy with objects having flat textures or under insufficient lighting conditions. Depth cameras, while overcoming some limitations of optical cameras, involve more complex hardware.
1：Experimental Design and Method Selection:
The study compares two positioning techniques for mm-wave portable scanners: photogrammetry using a conventional optical camera and a technique using a depth camera.
2：Sample Selection and Data Sources:
A mannequin torso with an attached knife, wrapped in aluminium foil and dressed with a raincoat, is used as the target under test.
3：List of Experimental Equipment and Materials:
A smartphone with customized image acquisition software for photogrammetry and an Intel RealSense SR300 RGB-D camera for depth camera technique.
4：Experimental Procedures and Operational Workflow:
The scanner is moved along 14 different positions around the target, with data collected using both techniques.
5：Data Analysis Methods:
The accuracy of both positioning techniques is evaluated by comparing estimated positions and attitude angles with theoretical values.
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