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Registration of 3D point cloud data for 2D electro-optic image data

机译:为2D电光图像数据注册3D点云数据

摘要

Method and system for registration of a two dimensional image data set and a three-dimensional image comprising point cloud data. The method begins by cropping a three-dimensional volume of point cloud data comprising a three-dimensional image data to remove a portion of the point cloud data comprising a ground surface within a scene, and dividing the three-dimensional volume into a plurality of m sub-volumes. Thereafter, the method continues by edge-enhancing a two-dimensional image data. Then, for each qualifying sub-volume, creating a filtered density image, calculating a two-dimensional correlation surface based on the filtered density image and the two-dimensional image data that has been edge enhanced, finding a peak of the two-dimensional correlation surface, determining a corresponding location of the peak within the two-dimensional image, defining a correspondence point set; and storing the correspondence point set in a point set list. Finally, a transformation is determined that minimizes the error between a plurality of the correspondence point sets contained in the point set list.
机译:用于注册二维图像数据集和包括点云数据的三维图像的方法和系统。该方法开始于裁剪包括三维图像数据的三维体积的点云数据,以去除包括场景内的地面的一部分点云数据,并将三维体积划分为多个m子卷。此后,通过边缘增强二维图像数据来继续该方法。然后,对于每个合格子体积,创建滤波后的密度图像,基于滤波后的密度图像和已被边缘增强的二维图像数据,计算二维相关表面,找到二维相关峰。在表面上,确定峰值在二维图像内的对应位置,定义对应点集;将对应点集存储在点集列表中。最后,确定使点集列表中包含的多个对应点集之间的误差最小的变换。

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