摄影测量学
由运动产生的结构
计算机视觉
计算机科学
人工智能
水准点(测量)
三维重建
软件
公制(单位)
构造(python库)
摄影
计算机图形学(图像)
遥感
运动(物理)
地质学
工程类
大地测量学
艺术
运营管理
视觉艺术
程序设计语言
作者
E. H. Heng Siong,Mohd Farid Mohd Ariff,A. F. Razali
出处
期刊:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
日期:2023-02-06
卷期号:XLVIII-4/W6-2022: 145-152
被引量:6
标识
DOI:10.5194/isprs-archives-xlviii-4-w6-2022-145-2023
摘要
Abstract. The purpose of this research study is to assess the potential using smartphone camera captured images for 3D model reconstruction by using Structure from Motion (SFM) photogrammetry technique, specifically in term of volumetric measurement. In past, the volumetric measurement of surface or object is by using Imaging Station or by professional Terrestrial Laser Scanner (TLS), however such approach is expensive in labour fees and instruments fee respectively. A cheaper alternative is necessary for researcher and industrial to construct 3D model with greater cost efficiency. The improvement of photography and computer vision has introduced the technique of SFM photogrammetry, an alternative in 3D model reconstruction other than TLS. Non-metric camera sensor mounted inside budget smartphone are used to capture images of stockpile and processed by Agisoft Metashape Professional (AMP) software to construct a 3D model. The volumetric measurement is executed and compare with the benchmark which is the model constructed from TLS. Statistics and tables are used to indicate the accuracy of Smartphone based SFM photogrammetry in intuitive manner. The result shows that the volumetric measurement by using smartphone SFM method has significant difference when compared with the benchmark, TLS solution.
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