Real Time Depth Computation Using Stereo Imaging

Prashant Jagdishchandra Bagga

doi:doi:10.11648/j.jeee.20130102.13

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Real Time Depth Computation Using Stereo Imaging

Prashant Jagdishchandra Bagga

Published in Journal of Electrical and Electronic Engineering (Volume 1, Issue 2)

Received: 3 June 2013 Accepted: Published: 30 June 2013

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Abstract

Stereo imaging is one of the methods to get an estimate about depth distance of various objects in the scene from the camera. This paper presents the process involved in developing a stereo imaging module for use on a robot to plan paths and movements, and for avoiding obstacles. The module is implemented using the open source computer vision library OpenCV. This module works in real-time and can deal with dynamic scenes to a fair extent.

Published in	Journal of Electrical and Electronic Engineering (Volume 1, Issue 2)
DOI	10.11648/j.jeee.20130102.13
Page(s)	51-54
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

Stereo Calibration, Re-Projection, Bouguet’s Algorithm, Hartley’s Algorithm

References

[1]	"Learning OpenCV", Gary Bradski and Adrian Kaehler, O’Reilly Media, 2008.
[2]	"A flexible new technique for camera calibration", Zhang, Microsoft Research.
[3]	Wikipedia, "Epipolar Geometry", Internet: http://en.wikipedia.org/wiki/Epipolar_geometry
[4]	"Camera calibration toolbox for Matlab: First example - corner extraction, calibration and additional tools", Jean-Yves Bouguet
[5]	"OpenCV 2.0 C reference", Internet: http://opencv.willowgarage.com/ documentation/
[6]	Point Cloud Library, "PCL visualization"
[7]	Book "Digital Image processing", Second edition, Rafael C Gonalez /Paul Wintz, Addison-Wesley Publishing Company.
[8]	"Foveated gaze-contingent displays for peripheral LOD management, 3D visualization, and stereo imaging", Andrew T. Duchowski, Arzu Çöltekin, Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) , Volume 3 Issue 4
[9]	"Stereo imaging with uncalibrated camera", Xiaokun Li, Chiman Kwan, Baoxin Li, Nov 2006, ISVC'06: Proceedings of the Second international conference on Advances in Visual Computing – Vol
[10]	"Guidelines for 3D positioning techniques\|, Robert J. Teather, Wolfgang Stuerzlinger, Nov 2007, Future Play '07: Proceedings of the 2007 conference on Fu

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Prashant Jagdishchandra Bagga. (2013). Real Time Depth Computation Using Stereo Imaging. Journal of Electrical and Electronic Engineering, 1(2), 51-54. https://doi.org/10.11648/j.jeee.20130102.13

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Prashant Jagdishchandra Bagga. Real Time Depth Computation Using Stereo Imaging. J. Electr. Electron. Eng. 2013, 1(2), 51-54. doi: 10.11648/j.jeee.20130102.13

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Prashant Jagdishchandra Bagga. Real Time Depth Computation Using Stereo Imaging. J Electr Electron Eng. 2013;1(2):51-54. doi: 10.11648/j.jeee.20130102.13

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@article{10.11648/j.jeee.20130102.13,
  author = {Prashant Jagdishchandra Bagga},
  title = {Real Time Depth Computation Using Stereo Imaging},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {1},
  number = {2},
  pages = {51-54},
  doi = {10.11648/j.jeee.20130102.13},
  url = {https://doi.org/10.11648/j.jeee.20130102.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20130102.13},
  abstract = {Stereo imaging is one of the methods to get an estimate about depth distance of various objects in the scene from the camera. This paper presents the process involved in developing a stereo imaging module for use on a robot to plan paths and movements, and for avoiding obstacles. The module is implemented using the open source computer vision library OpenCV.  This module works in real-time and can deal with dynamic scenes to a fair extent.},
 year = {2013}
}

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TY  - JOUR
T1  - Real Time Depth Computation Using Stereo Imaging
AU  - Prashant Jagdishchandra Bagga
Y1  - 2013/06/30
PY  - 2013
N1  - https://doi.org/10.11648/j.jeee.20130102.13
DO  - 10.11648/j.jeee.20130102.13
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 51
EP  - 54
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20130102.13
AB  - Stereo imaging is one of the methods to get an estimate about depth distance of various objects in the scene from the camera. This paper presents the process involved in developing a stereo imaging module for use on a robot to plan paths and movements, and for avoiding obstacles. The module is implemented using the open source computer vision library OpenCV.  This module works in real-time and can deal with dynamic scenes to a fair extent.
VL  - 1
IS  - 2
ER  -

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Author Information

Prashant Jagdishchandra Bagga

Mechanical Engineering Department, IDS, Nirma University, Ahmedabad, India

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APA Style

Prashant Jagdishchandra Bagga. (2013). Real Time Depth Computation Using Stereo Imaging. Journal of Electrical and Electronic Engineering, 1(2), 51-54. https://doi.org/10.11648/j.jeee.20130102.13

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ACS Style

Prashant Jagdishchandra Bagga. Real Time Depth Computation Using Stereo Imaging. J. Electr. Electron. Eng. 2013, 1(2), 51-54. doi: 10.11648/j.jeee.20130102.13

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AMA Style

Prashant Jagdishchandra Bagga. Real Time Depth Computation Using Stereo Imaging. J Electr Electron Eng. 2013;1(2):51-54. doi: 10.11648/j.jeee.20130102.13

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@article{10.11648/j.jeee.20130102.13,
  author = {Prashant Jagdishchandra Bagga},
  title = {Real Time Depth Computation Using Stereo Imaging},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {1},
  number = {2},
  pages = {51-54},
  doi = {10.11648/j.jeee.20130102.13},
  url = {https://doi.org/10.11648/j.jeee.20130102.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20130102.13},
  abstract = {Stereo imaging is one of the methods to get an estimate about depth distance of various objects in the scene from the camera. This paper presents the process involved in developing a stereo imaging module for use on a robot to plan paths and movements, and for avoiding obstacles. The module is implemented using the open source computer vision library OpenCV.  This module works in real-time and can deal with dynamic scenes to a fair extent.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Real Time Depth Computation Using Stereo Imaging
AU  - Prashant Jagdishchandra Bagga
Y1  - 2013/06/30
PY  - 2013
N1  - https://doi.org/10.11648/j.jeee.20130102.13
DO  - 10.11648/j.jeee.20130102.13
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 51
EP  - 54
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20130102.13
AB  - Stereo imaging is one of the methods to get an estimate about depth distance of various objects in the scene from the camera. This paper presents the process involved in developing a stereo imaging module for use on a robot to plan paths and movements, and for avoiding obstacles. The module is implemented using the open source computer vision library OpenCV.  This module works in real-time and can deal with dynamic scenes to a fair extent.
VL  - 1
IS  - 2
ER  -

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