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Stereovision for 3D Information

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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

Abstract

Stereovision is a technique aimed at inferring depth from two or more cameras. It plays an important role in computer vision. Single image has no depth or 3D information. Stereovision takes two images of a scene from different viewpoints usually referred to as left and right images using two cameras. Stereovision is similar to the binocular (two-eyed) human vision capturing two different views of a scene and brain processing and matching the similarity in both the images and the differences allow the brain to build depth information. OpenCV Library is used to compute the output of stereovision process—disparity and depth map.

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References

  1. Bradski, G., Kaehler, A.: O’Reilly learning OpenCV. 1st (edn), ISBN: 978-0-596-51613-0. O’Reilly Media Inc., NY, USA (2010).

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  2. Xu, G., Zhang, Z.: Epipolar geometry in stereo, motion and object recognition. Kluwer, Dordrecht (1996)

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  3. [OpenCV Wiki] Open Source Computer Vision Library Wiki. http://opencvlibrary.sourceforge.net/. Accessed 1 Oct 2008

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Acknowledgments

This work has been carried out as a part of summer internship at NITK. The authors would like to acknowledge the support and guidance of Professor Ramesh. M. Kini.

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Authors and Affiliations

  1. M.I.T, Manipal,  576104,  India

    Mary Ann George & Anna Merine George

Authors
  1. Mary Ann George
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  2. Anna Merine George
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Corresponding author

Correspondence to Mary Ann George .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Cite this paper

George, M.A., George, A.M. (2014). Stereovision for 3D Information. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_158

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_158

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

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