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3D laser imaging for concealed object identification

机译：3D激光成像可用于隐藏物体识别

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This paper deals with new optical non-conventional 3D laser imaging. Optical non-conventional imaging explores the advantages of laser imaging to form a three-dimensional image of the scene. 3D laser imaging can be used for three-dimensional medical imaging, topography, surveillance, robotic vision because of ability to detect and recognize objects. In this paper, we present a 3D laser imaging for concealed object identification. The objective of this new 3D laser imaging is to provide the user a complete 3D reconstruction of the concealed object from available 2D data limited in number and with low representativeness. The 2D laser data used in this paper come from simulations that are based on the calculation of the laser interactions with the different interfaces of the scene of interest and from experimental results. We show the global 3D reconstruction procedures capable to separate objects from foliage and reconstruct a three-dimensional image of the considered object. In this paper, we present examples of reconstruction and completion of three-dimensional images and we analyse the different parameters of the identification process such as resolution, the scenario of camouflage, noise impact and lacunarity degree.
机译：本文涉及新的光学非常规3D激光成像。光学非常规成像探索了激光成像的优势，可以形成场景的三维图像。由于3D激光成像具有检测和识别物体的能力，因此可用于三维医学成像，地形，监视，机器人视觉。在本文中，我们提出了用于隐藏物体识别的3D激光成像。这种新的3D激光成像的目的是为用户从数量有限且代表性较低的可用2D数据中提供隐藏对象的完整3D重建。本文中使用的2D激光数据来自模拟，该模拟基于对与感兴趣场景的不同界面的激光相互作用的计算，并来自实验结果。我们展示了能够从树叶中分离对象并重建所考虑对象的三维图像的全局3D重建程序。在本文中，我们以三维图像的重建和完成为例，并分析了识别过程中的不同参数，例如分辨率，伪装场景，噪声影响和稀疏度。

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