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3D Visualization of Radioactive Sources by Combining Depth Maps Generated from a Stereo Radiation Detection Device

机译:通过组合从立体辐射检测设备生成的深度图,对放射源进行3D可视化

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This paper proposes a simple, yet efficient, idea to visualize the shape and complete spatial distribution of radioactive sources. We used our previously studied gamma radiation detection device to capture stereo images of radioactive sources (using gamma camera) and 2D vision scanning environment (using vision camera). To generate a complete 3D model of radioactive sources and to see their distribution in the scanning area, we captured stereo images at different locations by freely moving the detector. We used the well-known Semi-global Block Matching algorithm to create both radiation and vision disparity images at each location and generated corresponding 3D reconstruction results by calculating depth values. Color ICP-based registration is performed on each individual reconstruction result to generate integrated 3D models for spatial area and radioactive sources, separately. These two integrated models are merged with each other to visualize the complete shape of radioactive sources and its distribution in the scanning environment. A graphical example is presented to show that the proposed method is capable of generating neat 3D models in real-time.
机译:本文提出了一个简单而有效的想法来可视化放射源的形状和完整的空间分布。我们使用之前研究过的伽马射线检测设备来捕获放射源的立体图像(使用伽马相机)和2D视觉扫描环境(使用视觉相机)。为了生成放射源的完整3D模型并查看其在扫描区域中的分布,我们通过自由移动探测器来捕获不同位置的立体图像。我们使用著名的半全局块匹配算法在每个位置创建辐射和视差图像,并通过计算深度值生成相应的3D重建结果。对每个单独的重建结果执行基于颜色ICP的配准,以分别生成用于空间区域和放射源的集成3D模型。这两个集成模型相互融合,以可视化放射源的完整形状及其在扫描环境中的分布。给出了一个图形示例,以表明所提出的方法能够实时生成整洁的3D模型。

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