视频测量:一种基于SfM算法的视频三维重建新方法:以煤矿矿区为例

Rimba Anditya Kurniawan, F. Ramdani, M. Furqon
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引用次数: 3

摘要

印度尼西亚是一个拥有大量煤炭生产自然资源的国家。2012年,印尼以466.307.241吨的总产量位居世界第三。管理流程是管理煤矿场地非常需要的。利用运动结构法(Structure-of- Motion Method, SfM)对三维点云进行重建,从而实现矿山管理过程。SfM是一种利用摄影测量技术,从许多图像的重叠中构建结构的算法。在采集图像数据时,有时会出现相机自动触发失败和图像间密度不足的问题。本研究使用无人机在矿区上空飞行的视频数据来记录所有采矿活动。预测的视频数据可以减少图像捕获时的误差,增加连续图像之间的重叠值,增加点云的数量。用简单回归法对软件的输出结果进行了测试。本研究表明,输入时长为1分钟、重叠值为90%的视频数据,可以产生2910个点云。简单回归检验的F值为12408。结果表明,重叠值越大,可以产生大量的点云。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Videogrammetry: A new approach of 3-dimensional reconstruction from video using SfM algorithm: Case studi: Coal mining area
Indonesia is a country that have a massive natural resources for producing coal. In 2012, Indonesia archive third place world level as the most producer coal with total 466.307.241 ton. Management process very needed for manage coal mining sites. The mine management process can be done with 3- dimensional point clouds reconstruction using the Structure-of- Motion Method (SfM). SfM is an algorithm used to build structure from overlapping of many images by using photogrammetry techniques. When acquisition image data, sometimes get a failure of automatic camera trigger and lack of density between images. This study uses video data from UAVs flown over mining areas to record all mining activities. Video data predicted can reduce errors during image capture and increase the overlap value between successive images and increase the number of point cloud. The output on the software is tested using the Simple Regression method. This study shows that input video data with 1 minute duration and 90% overlap value can produce 2910 point cloud. The Simple Regression test result an F value of 12,408. It shows that the greater value of overlap, can produce a lot number of points cloud.
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