Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation
Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation
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DOI：
10.1111/j.1477-9730.2010.00599.x
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发表时间：
2010-12-01
影响因子：
2.4
通讯作者：
Remondino, Fabio
中科院分区：
文献类型：
--
作者：
Barazzetti, Luigi;Scaioni, Marco;Remondino, Fabio
本文提出了一种自动定位方法：(1)对标定相机拍摄的一组近距离图像进行定向；(2)从估计的定向参数开始提取密集而准确的点云。整个过程结合了不同的算法和技术，以自动的方式获得准确的3D重建。利用基于面积和基于特征的匹配算法检测的图像对应关系，使用摄影测量束平差来估计外部方位参数。然后使用基于多个图像基元的高级多图像匹配技术来执行表面测量。为了验证该方法的可靠性、精确度和稳健性，文中对不同类型的自由形状物体进行了测试。还进行了与基于范围的数据的三维比较。
In this paper an automated methodology is presented (i) to orient a set of close-range images captured with a calibrated camera, and (ii) to extract dense and accurate point clouds starting from the estimated orientation parameters. The whole procedure combines different algorithms and techniques in order to obtain accurate 3D reconstructions in an automatic way. The exterior orientation parameters are estimated using a photogrammetric bundle adjustment with the image correspondences detected using area- and feature-based matching algorithms. Surface measurements are then performed using advanced multi-image matching techniques based on multiple image primitives. To demonstrate the reliability, precision and robustness of the procedure, several tests on different kinds of free-form objects are illustrated and discussed in the paper. Three-dimensional comparisons with range-based data are also carried out.