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

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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 Accepted: Published: 18 January 2021

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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), 2024. Published by Science Publishing Group

Keywords

Slope Monitoring, 3D Reconstruction, Smartphone, Monocular Vision

References

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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

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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

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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

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@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}
}

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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  -

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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

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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

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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