Skip to main content

Truncated Signed Distance Function: Experiments on Voxel Size

  • Conference paper
  • First Online:
Book cover Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8815))

Included in the following conference series:

Abstract

Real-time 3D reconstruction is a hot topic in current research. Several popular approaches are based on the truncated signed distance function (TSDF), a volumetric scene representation that allows for integration of multiple depth images taken from different viewpoints. Aiming at a deeper understanding of TSDF we discuss its parameters, conduct experiments on the influence of voxel size on reconstruction accuracy and derive practical recommendations.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bondarev, E., Heredia, F., Favier, R., Ma, L., de With, P.H.: On photo-realistic 3D reconstruction of large-scale and arbitrary-shaped environments. In: 2013 IEEE Consumer Communications and Networking Conference (CCNC), pp. 621–624. IEEE (2013)

    Google Scholar 

  2. Curless, B., Levoy, M.: A volumetric method for building complex models from range images. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1996, pp. 303–312. ACM, New York (1996)

    Google Scholar 

  3. Hemmat, H.J., Bondarev, E., de With, P.H.N.: Exploring distance-aware weighting strategies for accurate reconstruction of voxel-based 3D synthetic models. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds.) MMM 2014, Part I. LNCS, vol. 8325, pp. 412–423. Springer, Heidelberg (2014)

    Google Scholar 

  4. Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 559–568. ACM (2011)

    Google Scholar 

  5. Microsoft: Kinect (2014), http://www.xbox.com/en-us/kinect/

  6. Newcombe, R.A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A.J., Kohli, P., Shotton, J., Hodges, S., Fitzgibbon, A.: KinectFusion: real-time dense surface mapping and tracking. In: Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011, pp. 127–136. IEEE Computer Society, Washington, DC (2011)

    Google Scholar 

  7. Paulsen, R.R., Bærentzen, J.A., Larsen, R.: Regularisation of 3D signed distance fields. In: Salberg, A.-B., Hardeberg, J.Y., Jenssen, R. (eds.) SCIA 2009. LNCS, vol. 5575, pp. 513–519. Springer, Heidelberg (2009)

    Google Scholar 

  8. Roth, H., Vona, M.: Moving volume KinectFusion. In: Proceedings of the British Machine Vision Conference, pp. 1–11. BMVA Press (2012)

    Google Scholar 

  9. Whelan, T., Johannsson, H., Kaess, M., Leonard, J.J., McDonald, J.: Robust tracking for real-time dense RGB-D mapping with kintinuous. Technical Report 031. MIT-CSAIL (2012), http://hdl.handle.net/1721.1/73167

  10. Whelan, T., Johannsson, H., Kaess, M., Leonard, J.J., McDonald, J.: Robust real-time visual odometry for dense RGB-D mapping. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 5724–5731. IEEE (2013)

    Google Scholar 

  11. Whelan, T., Kaess, M., Fallon, M., Johannsson, H., Leonard, J., McDonald, J.: Kintinuous: Spatially extended KinectFusion. Technical Report 020. MIT-CSAIL (2012), http://hdl.handle.net/1721.1/71756

  12. Willow Garage and other contributors: Open source implementation of KinectFusion in PCL 1.7.1 (2014), http://www.pointclouds.org/downloads/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Diana Werner .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Werner, D., Al-Hamadi, A., Werner, P. (2014). Truncated Signed Distance Function: Experiments on Voxel Size. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11755-3_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics