Skip to main content

Real-Time Depth Estimation from a Monocular Moving Camera

  • Conference paper
Contemporary Computing (IC3 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 306))

Included in the following conference series:

Abstract

A unique approach for estimating the depth from a monocular moving camera has been synthesized. Good interest points are obtained using the Shi-Tomasi technique for every frame in real time. Lucas-Kanade method is applied on these interest points of two consecutive frames which computes feature of the frames and the maps the interest points. It utilizes mainly the Lucas approach for estimation of depth from continuous input of frames from the moving camera which helps in estimating relative depth amongst various objects in the scene. Two approaches have been designed to solve this problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Furukawa, Y., Sethi, A., Ponce, J., Kriegman, D.: Robust Structure and Motion from Outlines of Smooth Curved Surfaces. In: PAMI, vol. 28(2), pp. 302–315 (2006)

    Google Scholar 

  2. Rieger, J.H., Lawton, D.T.: Sensor Motion and Relative Depth from Difference Fields of Optic Flows. Computer and Information Science Department, University of Massachusetts, Amherst, Massachusetts (1983)

    Google Scholar 

  3. Fua, P.: A parallel stereo algorithm that produces dense depth maps and preserves image features. In: Machine Vision and Applications, vol. 6, pp. 35–49. Springer (1993)

    Google Scholar 

  4. Dellaert, F., Seitz, S.M., Thorpe, C.E., Thrun, S.: Structure from Motion without Correspondences. In: Proc. Computer Vision and Pattern Recognition Conf. (CVPR) (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Handa, A., Sharma, P. (2012). Real-Time Depth Estimation from a Monocular Moving Camera. In: Parashar, M., Kaushik, D., Rana, O.F., Samtaney, R., Yang, Y., Zomaya, A. (eds) Contemporary Computing. IC3 2012. Communications in Computer and Information Science, vol 306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32129-0_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32129-0_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32128-3

  • Online ISBN: 978-3-642-32129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics