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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >THE COMPARISON OF 2D AND 3D DETECTORS FOR TLS DATA REGISTRATION – PRELIMINARY RESULTS
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THE COMPARISON OF 2D AND 3D DETECTORS FOR TLS DATA REGISTRATION – PRELIMINARY RESULTS

机译：TLS数据注册的2D和3D检测器的比较-初步结果

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摘要

This paper presents the analysis of possible methods of a terrestrial laser scanning (TLS) data registration using 2D/3D detectors and descriptors. The developed approach, where point clouds are processed in form of panoramic images, orthoimages and 3D data, was described. The accuracy of the registration process was preliminary verified. The two approaches were analysed and compared: the 2D SIFT (Scale-Invariant Feature Transform) detector and descriptor with the rasterized TLS data and the 3D SIFT detector with the 3D FPFH (Fast Point Feature Histograms) descriptor. The feature points were found and preliminary matched using the OpenCV and PCL (Point Cloud Library) libraries. In order to find the best point cloud representation for the registration process, both the percentage and distribution of the correctly detected and matched points were analysed. The materials consisted of the point clouds of two chambers from the Museum of King John III’s Palace in Wilanów. They were acquired using the Z+F 5006h and 5003 TLS scanners. The performed analysis showed that the lowest RMSE values were for the 2D detectors and orthoimages. However, in the case of the point number and distribution, better results were obtained for using the 3D detector.
机译：本文介绍了使用2D / 3D检测器和描述符进行地面激光扫描（TLS）数据注册的可能方法的分析。描述了已开发的方法，其中以全景图像，正射图像和3D数据的形式处理点云。初步验证了注册过程的准确性。分析并比较了这两种方法：带有栅格化TLS数据的2D SIFT（尺度不变特征变换）检测器和描述符，以及带有3D FPFH（快点特征直方图）描述符的3D SIFT检测器。使用OpenCV和PCL（点云库）库找到了特征点并进行了初步匹配。为了找到用于注册过程的最佳点云表示形式，分析了正确检测和匹配的点的百分比和分布。这些材料由Wilanów约翰三世国王博物馆的两个房间的点云组成。它们是使用Z + F 5006h和5003 TLS扫描仪获得的。进行的分析表明，最低的RMSE值适用于二维检测器和正射影像。但是，在点数和分布的情况下，使用3D检测器可获得更好的结果。

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