Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision

Li Jishan; Shi Xingxi; Wang Xianghong

doi:doi:10.11648/j.sd.20210901.11

| Peer-Reviewed

Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision

Li Jishan, Shi Xingxi, Wang Xianghong

Published in Science Discovery (Volume 9, Issue 1)

Received: 2 December 2020 Published: 18 January 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

In this paper, a method of slope surface model reconstruction based on smart phone is proposed for the problems of point layout limitation, expensive measuring equipment and easy operation of monitoring personnel. By explaining the principle and steps of the SfM-MVS algorithm, the slope surface model is reconstructed based on the slope image taken by smart phone. In this paper, the principle of partial reconstruction is described, which involves the principle of polar geometry and projection error, and the corresponding description of motion recovery structure algorithm and dense reconstruction algorithm steps. The concrete steps of slope 3D reconstruction are as follows: first, the mobile phone camera is calibrated by Zhang Zhengyou camera and the slope image is enhanced for subsequent processing. Finally, the SfM-MVS algorithm is used for sparse reconstruction and dense reconstruction to obtain point cloud data, and the slope surface model is reconstructed by triangulation and texture mapping. The slope surface model obtained by smartphone image lays the foundation of slope shape change monitoring and coordinate calculation, and has the characteristics of perfect slope overall information. The model reconstruction based on mobile terminal image acquisition can reduce the equipment cost of slope monitoring and the maneuverability of monitoring personnel, and has certain application value.

Published in	Science Discovery (Volume 9, Issue 1)
DOI	10.11648/j.sd.20210901.11
Page(s)	1-6
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Slope Monitoring, 3D Reconstruction, Smartphone, Monocular Vision

References

[1]	崔春晓,朱自强,杨光轩,等.基于GNSS技术的排土场边坡监测及稳定性研究[J].中国矿业,2020,029(003):94-99。
[2]	张爱军.GPS技术在边坡监测中的应用研究[J].商品与质量, 2016,000(048):286-287。
[3]	闫国斌,陶志刚,孙光林,等.边坡雷达在矿区边坡监测区域的应用分析[J].工业安全与环保,2015,000(010):57-60。
[4]	谢冬冬,杨德宏.近景摄影技术在露天矿山边坡变形监测中的应用[J].价值工程,2016(21):123-124,共2页。
[5]	桂林,陈昌黎,谢飞,等.倾斜摄影测量在红石岩堰塞体高边坡治理工作中的应用[C]//2018年西南5省,市,区第二次岩石力学与工程学术大会论文集(下册:试验与研究监测与测量综合性技术).2018。
[6]	李竹有,杨国华,孙洪稳,等.无人机非接触式高边坡表面位移监测方法[J].云南水力发电,2019,035(0z2):30-35。
[7]	唐旭.近景摄影测量在边坡监测中的应用研究[D].2016。
[8]	陈思园,宋展,尹业安.基于智能手机的三维重建方法[J].计算机工程,2019,45(03):231-237+242。
[9]	张宁,王竞雪.基于智能手机立体影像的稠密三维重建[J].遥感信息,2020,035(002):87-93。
[10]	王冬.基于单目视觉的三维重建技术研究[D].2016.
[11]	韩超.基于无人机航拍图像的三维重建SfM算法研究[D]. 2019.
[12]	李兆歆.多视角立体三维重建方法研究[D].
[13]	Peppa M V, Mills J P, Moore P, et al. Automated co-registration and calibration in SfM photogrammetry for landslide change detection: Automated SfM co-registration for landslide change detection [J]. Earth Surface Processes and Landforms, 2018, 44.
[14]	Esposito G, Salvini R, Matano F, et al. Multitemporal monitoring of a coastal landslide through SfM‐derived point cloud comparison [J]. The Photogrammetric Record, 2017, 32 (160): 459-479.
[15]	童张海.单目视觉空间目标位姿测量算法研究[D].哈尔滨工业大学。
[16]	何谦.基于单目视觉的环境稀疏重建与稠密重建算法研究[D]。
[17]	Shuangting W, Kunkun C, Xiaolong L. An improved PMVS algorithm based on multi-view oblique images [J]. Journal of Henan Polytechnic University(Natural ence), 2015.
[18]	Wang J A, Ma H T, Wang C M, et al. Fast 3D reconstruction method based on UAV photography [J]. Etri Journal, 2018, 40 (6): 788-793.
[19]	迟德霞,王洋,宁立群,等.张正友法的摄像机标定试验[J].中国农机化学报,2015, 36(002):287-289。
[20]	Luo J, Oubong G. A Comparison of SIFT, PCA-SIFT and SURF [J]. International Journal of Image Processing, 2009.
[21]	Chum, Ondřej, Matas, Jiří. Optimal Randomized RANSAC[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2008, 30 (8): 1472-1482.
[22]	CHEN Tingwang, WANG Qing, 陈庭旺,等. Triangulation algorithm based on point clouds reconstructed by SfM一种基于SfM重建点云的三角网格化算法*[J].计算机应用研究,2011, 28(2):794-796。
[23]	Schuster K, Trettner P, Schmitz P, et al. A Three-Level Approach to Texture Mapping and Synthesis on 3D Surfaces [J]. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2020.

Cite This Article

Plain Text BibTeX RIS

APA Style

Li Jishan, Shi Xingxi, Wang Xianghong. (2021). Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision. Science Discovery, 9(1), 1-6. https://doi.org/10.11648/j.sd.20210901.11

Copy | Download

ACS Style

Li Jishan; Shi Xingxi; Wang Xianghong. Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision. Sci. Discov. 2021, 9(1), 1-6. doi: 10.11648/j.sd.20210901.11

Copy | Download

AMA Style

Li Jishan, Shi Xingxi, Wang Xianghong. Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision. Sci Discov. 2021;9(1):1-6. doi: 10.11648/j.sd.20210901.11

Copy | Download

@article{10.11648/j.sd.20210901.11,
  author = {Li Jishan and Shi Xingxi and Wang Xianghong},
  title = {Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision},
  journal = {Science Discovery},
  volume = {9},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.sd.20210901.11},
  url = {https://doi.org/10.11648/j.sd.20210901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20210901.11},
  abstract = {In this paper, a method of slope surface model reconstruction based on smart phone is proposed for the problems of point layout limitation, expensive measuring equipment and easy operation of monitoring personnel. By explaining the principle and steps of the SfM-MVS algorithm, the slope surface model is reconstructed based on the slope image taken by smart phone. In this paper, the principle of partial reconstruction is described, which involves the principle of polar geometry and projection error, and the corresponding description of motion recovery structure algorithm and dense reconstruction algorithm steps. The concrete steps of slope 3D reconstruction are as follows: first, the mobile phone camera is calibrated by Zhang Zhengyou camera and the slope image is enhanced for subsequent processing. Finally, the SfM-MVS algorithm is used for sparse reconstruction and dense reconstruction to obtain point cloud data, and the slope surface model is reconstructed by triangulation and texture mapping. The slope surface model obtained by smartphone image lays the foundation of slope shape change monitoring and coordinate calculation, and has the characteristics of perfect slope overall information. The model reconstruction based on mobile terminal image acquisition can reduce the equipment cost of slope monitoring and the maneuverability of monitoring personnel, and has certain application value.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision
AU  - Li Jishan
AU  - Shi Xingxi
AU  - Wang Xianghong
Y1  - 2021/01/18
PY  - 2021
N1  - https://doi.org/10.11648/j.sd.20210901.11
DO  - 10.11648/j.sd.20210901.11
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20210901.11
AB  - In this paper, a method of slope surface model reconstruction based on smart phone is proposed for the problems of point layout limitation, expensive measuring equipment and easy operation of monitoring personnel. By explaining the principle and steps of the SfM-MVS algorithm, the slope surface model is reconstructed based on the slope image taken by smart phone. In this paper, the principle of partial reconstruction is described, which involves the principle of polar geometry and projection error, and the corresponding description of motion recovery structure algorithm and dense reconstruction algorithm steps. The concrete steps of slope 3D reconstruction are as follows: first, the mobile phone camera is calibrated by Zhang Zhengyou camera and the slope image is enhanced for subsequent processing. Finally, the SfM-MVS algorithm is used for sparse reconstruction and dense reconstruction to obtain point cloud data, and the slope surface model is reconstructed by triangulation and texture mapping. The slope surface model obtained by smartphone image lays the foundation of slope shape change monitoring and coordinate calculation, and has the characteristics of perfect slope overall information. The model reconstruction based on mobile terminal image acquisition can reduce the equipment cost of slope monitoring and the maneuverability of monitoring personnel, and has certain application value.
VL  - 9
IS  - 1
ER  -

Copy | Download

Author Information

Li Jishan

School of Science, Nanjing University of Science and Technology, Nanjing, China
Shi Xingxi

School of Science, Nanjing University of Science and Technology, Nanjing, China
Wang Xianghong

China Coal Chang, Jiang Foundation Construction Corporation, Nanjing, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Li Jishan, Shi Xingxi, Wang Xianghong. (2021). Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision. Science Discovery, 9(1), 1-6. https://doi.org/10.11648/j.sd.20210901.11

Copy | Download

ACS Style

Li Jishan; Shi Xingxi; Wang Xianghong. Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision. Sci. Discov. 2021, 9(1), 1-6. doi: 10.11648/j.sd.20210901.11

Copy | Download

AMA Style

Li Jishan, Shi Xingxi, Wang Xianghong. Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision. Sci Discov. 2021;9(1):1-6. doi: 10.11648/j.sd.20210901.11

Copy | Download

@article{10.11648/j.sd.20210901.11,
  author = {Li Jishan and Shi Xingxi and Wang Xianghong},
  title = {Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision},
  journal = {Science Discovery},
  volume = {9},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.sd.20210901.11},
  url = {https://doi.org/10.11648/j.sd.20210901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20210901.11},
  abstract = {In this paper, a method of slope surface model reconstruction based on smart phone is proposed for the problems of point layout limitation, expensive measuring equipment and easy operation of monitoring personnel. By explaining the principle and steps of the SfM-MVS algorithm, the slope surface model is reconstructed based on the slope image taken by smart phone. In this paper, the principle of partial reconstruction is described, which involves the principle of polar geometry and projection error, and the corresponding description of motion recovery structure algorithm and dense reconstruction algorithm steps. The concrete steps of slope 3D reconstruction are as follows: first, the mobile phone camera is calibrated by Zhang Zhengyou camera and the slope image is enhanced for subsequent processing. Finally, the SfM-MVS algorithm is used for sparse reconstruction and dense reconstruction to obtain point cloud data, and the slope surface model is reconstructed by triangulation and texture mapping. The slope surface model obtained by smartphone image lays the foundation of slope shape change monitoring and coordinate calculation, and has the characteristics of perfect slope overall information. The model reconstruction based on mobile terminal image acquisition can reduce the equipment cost of slope monitoring and the maneuverability of monitoring personnel, and has certain application value.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Research on Slope Model Reconstruction Based on Mobile Terminal Monocular Vision
AU  - Li Jishan
AU  - Shi Xingxi
AU  - Wang Xianghong
Y1  - 2021/01/18
PY  - 2021
N1  - https://doi.org/10.11648/j.sd.20210901.11
DO  - 10.11648/j.sd.20210901.11
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20210901.11
AB  - In this paper, a method of slope surface model reconstruction based on smart phone is proposed for the problems of point layout limitation, expensive measuring equipment and easy operation of monitoring personnel. By explaining the principle and steps of the SfM-MVS algorithm, the slope surface model is reconstructed based on the slope image taken by smart phone. In this paper, the principle of partial reconstruction is described, which involves the principle of polar geometry and projection error, and the corresponding description of motion recovery structure algorithm and dense reconstruction algorithm steps. The concrete steps of slope 3D reconstruction are as follows: first, the mobile phone camera is calibrated by Zhang Zhengyou camera and the slope image is enhanced for subsequent processing. Finally, the SfM-MVS algorithm is used for sparse reconstruction and dense reconstruction to obtain point cloud data, and the slope surface model is reconstructed by triangulation and texture mapping. The slope surface model obtained by smartphone image lays the foundation of slope shape change monitoring and coordinate calculation, and has the characteristics of perfect slope overall information. The model reconstruction based on mobile terminal image acquisition can reduce the equipment cost of slope monitoring and the maneuverability of monitoring personnel, and has certain application value.
VL  - 9
IS  - 1
ER  -

Copy | Download