Monitoring coastal morphology: the potential of low-cost fixed array action cameras for 3D reconstruction

被引:8
|
作者
Godfrey, Samantha [1 ]
Cooper, James [1 ]
Bezombes, Frederic [2 ]
Plater, Andrew [1 ]
机构
[1] Univ Liverpool, Sch Environm Sci, Roxby Bldg, Liverpool L69 7ZT, Merseyside, England
[2] Liverpool John Moores Univ, Gen Engn Res Inst, Liverpool, Merseyside, England
关键词
action camera; coastal erosion; coastal monitoring; image optimization; structure-from-motion photogrammetry; 3D reconstruction; STRUCTURE-FROM-MOTION; PHOTOGRAMMETRY; UAV; TOPOGRAPHY; EROSION; MICROTOPOGRAPHY; BEACH; LIDAR; TOOL;
D O I
10.1002/esp.4892
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The combination of structure-from-motion with multi-view stereo (SfM-MVS) photogrammetry has become an increasingly popular method for the monitoring and three-dimensional (3D) reconstruction of coastal environments. Climate change is driving the potential for increased coastal landward retreat meaning geomorphological monitoring using methods such as SfM-MVS has become essential for detecting and tracking impacts. SfM-MVS has been well-researched with a variety of platforms and spatial and temporal resolutions using mainly rectilinear digital cameras in coastal settings. However, there has been no assessment of the potential of fixed multi-camera arrays to monitor landward retreat or on the significance of camera placement in relation to the scene. This study presents an innovative method of image acquisition using a purpose-built camera grid and GoPro (c) action camera to evaluate the combined effects of camera height, obliqueness and overlap at a site of known landward retreat. This approach examines the effect of camera placement on scene reconstruction to aid the design of a multi-camera array. SfM-MVS dense point clouds display millimetre accuracy when compared to equivalent terrestrial laser scans and strong image network geometry with internal precision estimates of < 3 mm. Comparable point cloud reconstruction can be achieved with a small number of images stationed in appropriate positions. Initial results show as few as five images positioned at a cliff to camera ratio of 3:4.18 and camera obliqueness of 40 degrees can provide reconstruction in the range of millimetres (mean error of 4.79 mm). These findings illustrate the importance of camera placement when using multiple cameras and aid the design of a low-cost, fixed multi-camera array for use at sites of small-scale landward retreat. (c) 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd
引用
收藏
页码:2478 / 2494
页数:17
相关论文
共 50 条
  • [1] TESTING THE LOW-COST RPAS POTENTIAL IN 3D CULTURAL HERITAGE RECONSTRUCTION
    Bolognesi, M.
    Furini, A.
    Russo, V.
    Pellegrinelli, A.
    Russo, P.
    3D-ARCH 2015 - 3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES, 2015, 40-5 (W4): : 229 - 235
  • [2] 3D RECONSTRUCTION OF AN UNDERWATER ARCHAELOGICAL SITE: COMPARISON BETWEEN LOW COST CAMERAS
    Capra, A.
    Dubbini, M.
    Bertacchini, E.
    Castagnetti, C.
    Mancini, F.
    UNDERWATER 3D RECORDING AND MODELING, 2015, 45 (W5): : 67 - 72
  • [3] A low-cost digital 3D insect scanner
    Doan, Thanh-Nghi
    Nguyen, Chuong V.
    INFORMATION PROCESSING IN AGRICULTURE, 2024, 11 (03): : 337 - 355
  • [4] Assessing the Potential of Low-Cost 3D Cameras for the Rapid Measurement of Plant Woody Structure
    Nock, Charles A.
    Taugourdeau, Olivier
    Delagrange, Sylvain
    Messier, Christian
    SENSORS, 2013, 13 (12): : 16216 - 16233
  • [5] Improved Low-cost 3D Reconstruction Pipeline by Merging Data From Different Color and Depth Cameras
    da Silva, Eberty Alves
    Apaza-Aguero, Karl Philips
    REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2022, 14 (02): : 56 - 66
  • [6] A Fast and Low-Cost Human Body 3D Scanner Using 100 Cameras
    Zeraatkar, Mojtaba
    Khalili, Khalil
    JOURNAL OF IMAGING, 2020, 6 (04)
  • [7] A 3D Reconstruction Pipeline of Urban Drainage Pipes Based on MultiviewImage Matching Using Low-Cost Panoramic Video Cameras
    Zhang, Xujie
    Zhao, Pengcheng
    Hu, Qingwu
    Wang, Hean
    Ai, Mingyao
    Li, Jiayuan
    WATER, 2019, 11 (10)
  • [8] A Low-cost Open-source Workflow to Generate Georeferenced 3D SfM Photogrammetric Models of Rocky Outcrops
    Froideval, Laurent
    Pedoja, Kevin
    Garestier, Franck
    Moulon, Pierre
    Conessa, Christophe
    Le Bas, Xavier Pellerin
    Traore, Kalil
    Benoit, Laurent
    PHOTOGRAMMETRIC RECORD, 2019, 34 (168) : 365 - 384
  • [9] Colored Structured Light Patterns with Binocular Cameras for Fast and Low-cost 3-D Reconstruction
    Xia, Hailun
    Tan, Jie
    Wu, Ke
    2019 IEEE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING TECHNOLOGY (CCET), 2019, : 26 - 30
  • [10] MOBILE 3D MAPPING WITH A LOW-COST UAV SYSTEM
    Neitzel, F.
    Klonowski, J.
    INTERNATIONAL CONFERENCE ON UNMANNED AERIAL VEHICLE IN GEOMATICS (UAV-G), 2011, 38-1 (C22): : 39 - 44