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首页> 外文期刊>Pattern Recognition Letters >Target recognition via 3D object reconstruction from image sequence and contour matching
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Target recognition via 3D object reconstruction from image sequence and contour matching

机译:通过图像序列和轮廓匹配通过3D对象重建进行目标识别

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This paper proposes an automatic target recognition (ATR) system based on the three-dimensional (3D) reconstruction of the target from an image sequence. The main contribution of this work is twofold: (1) We present a modified voxel coloring reconstruction algorithm and (2) we employ the 3D reconstructed target model to generate the front and side target templates at zero depression angle to be used in the target recognition process. Target recognition is performed by matching the generated templates to a library using a subpixel contour matching algorithm. Experimental results on simulated scenes show the accuracy of the approach presented in this paper.
机译:本文提出了一种基于图像序列的目标的三维(3D)重建的自动目标识别(ATR)系统。这项工作的主要贡献是双重的:(1)我们提出了一种改进的体素着色重建算法,(2)我们使用了3D重建目标模型来生成零俯角的正面和侧面目标模板,以用于目标识别。处理。通过使用子像素轮廓匹配算法将生成的模板与库进行匹配来执行目标识别。在模拟场景上的实验结果表明了本文提出的方法的准确性。

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