使用索引图像快速同时对齐多个范围图像

Takeshi Oishi, A. Nakazawa, R. Kurazume, K. Ikeuchi
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引用次数: 44

摘要

本文介绍了一种快速简便的多距离图像同步对准方法。对齐过程中最耗时的部分是查找对应点。虽然“逆校准”方法快速搜索到对应点的复杂度为O(n),其中n为顶点数,但该方法需要一些查找表或精确的传感器参数。然后,我们提出了一种简单易用的使用“索引图像”的方法:使用图形硬件可以快速创建“索引图像”,而不需要精确的传感器参数。为了快速计算大量距离图像的刚性变换矩阵,采用线性化误差函数和不完全Cholesky共轭梯度(ICCG)法求解线性方程。对激光测距传感器测量的大量距离图像进行了对正实验,结果表明了该方法的有效性。
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Fast simultaneous alignment of multiple range images using index images
This paper describes a fast and easy-to-use simultaneous alignment method of multiple range images. The most time consuming part of alignment process is searching corresponding points. Although "Inverse calibration" method quickly searches corresponding points in complexity O(n), where n is the number of vertices, the method requires some look-up tables or precise sensors parameters. Then, we propose an easy-to-use method that uses "Index Image": "Index image " can be rapidly created using graphics hardware without precise sensor's parameters. For fast computation of rigid transformation matrices of a large number of range images, we utilized linearized error function and applied incomplete Cholesky conjugate gradient (ICCG) method for solving linear equations. Some experimental results that aligned a large number of range images measured with laser range sensors show the effectiveness of our method.
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