research-article

3D Coordinate Calculation and Pose Estimation of Power Meter based on Binocular Stereo Vision

Authors:

Qingdan Huang,

Wenxiong Mo,

Liqiang Pei,

Lian ZengAuthors Info & Claims

ICSCA '19: Proceedings of the 2019 8th International Conference on Software and Computer Applications

Pages 282 - 285

https://doi.org/10.1145/3316615.3316655

Published: 19 February 2019 Publication History

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Abstract

To establish an intelligent power meter verification automatic flow operation platform, it is necessary to transport different types of power meters from the area to be verified to the conveyor belt of the instrument verification line. Aiming at the background demand of this practical application, this paper studies the power meter positioning based on binocular stereo vision, including instrument 3D coordinate calculation and pose estimation. The instrument 3D coordinate calculation mainly calculates the coordinates of the instrument center point through the stereo matching algorithm. The instrument pose estimation mainly expresses the space pose of the instrument by increasing the inclination angle of the instrument in the horizontal plane. Through the 3D coordinate calculation and pose estimation of the power meter, the spatial position of the instrument relative to the binocular stereo vision system can be obtained, which lays a foundation for automatic grabing of power meter by mechanical arm.

References

[1]

Tao He,Jiu Yin Chen,Xiang Hu,Xian Wang. A Study of 3d Coordinate Measuring Based on Binocular Stereo Vision{J}. Applied Mechanics and Materials. 2015 (740).

Google Scholar

[2]

Randolph Blake,Hugh Wilson. Binocular vision{J}. Vision Research. 2010 (7).

Google Scholar

[3]

Hartley, R., Zisserman, A. Mutiple View Geometry in Computer Vision. 2003.

Digital Library

Google Scholar

[4]

Z.Zhang. A flexible new technique for camera calibration{J}. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2000(1330--1334).

Digital Library

Google Scholar

[5]

Heiko. Stereo Processing by Semi-Global Matching and Mutual Information{J}. IEEE International Conference on Computer Vision and Pattern Recognition. 2005(807--814).

Digital Library

Google Scholar

[6]

Wang hui. The Processing of Background Difference Images. 2005.

Google Scholar

[7]

Lowe, David G. Object recognition from local scale-invariant features. Proceedings of the International Conference on Computer Vision. 2. pp. 1150--1157.

Digital Library

Google Scholar

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Kraus MPollok TMiller MKilian TMoritz TSchweitzer DBeyerer JKeim DQu CJentner W(2020)Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene ReconstructionSensors10.3390/s2018542620:18(5426)Online publication date: 22-Sep-2020
https://doi.org/10.3390/s20185426

Index Terms

3D Coordinate Calculation and Pose Estimation of Power Meter based on Binocular Stereo Vision
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Vision for robotics

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ICSCA '19: Proceedings of the 2019 8th International Conference on Software and Computer Applications

February 2019

611 pages

ISBN:9781450365734

DOI:10.1145/3316615

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of New Brunswick: University of New Brunswick

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Association for Computing Machinery

New York, NY, United States

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Published: 19 February 2019

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ICSCA '19: 2019 8th International Conference on Software and Computer Applications

February 19 - 21, 2019

Penang, Malaysia

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Kraus MPollok TMiller MKilian TMoritz TSchweitzer DBeyerer JKeim DQu CJentner W(2020)Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene ReconstructionSensors10.3390/s2018542620:18(5426)Online publication date: 22-Sep-2020
https://doi.org/10.3390/s20185426

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A Novel Binocular Stereo Vision-Based Approach of Cycle Path Detection

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