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Robust recognition and pose determination of 3-D objects using range images in eigenspace approach

机译:本征空间方法中使用距离图像对3D对象进行稳健识别和姿势确定

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In this paper we propose a robust method for recognition and pose determination of 3-D objects using range images in the eigenspace approach. Instead of computing the coefficients by a projection of the data onto the eigenimages, we determine the coefficients by solving a set of linear equations in a robust manner. The method efficiently overcomes the problem of missing pixels, noise and occlusions in range images. The results show that the proposed method outperforms the standard one in recognition and pose determination.
机译:在本文中,我们提出了一种在特征空间方法中使用距离图像识别和定位3D对象的鲁棒方法。我们不是通过将数据投影到特征图像上来计算系数,而是通过以健壮的方式求解一组线性方程来确定系数。该方法有效地克服了距离图像中像素丢失,噪声和遮挡的问题。结果表明,该方法在识别和姿态确定方面优于标准方法。

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