Skip to main content
SpringerLink
Log in

Crowdsourcing 3D Motion Reconstruction

  • Conference paper
Smart Graphics (SG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8698))

Included in the following conference series:

  • 1369 Accesses

Abstract

Reconstructing 3D motions from 2D video recordings is a useful yet difficult task. In this paper, we present a crowdsourcing system for motion reconstruction. Our insight is that we may outsource motion reconstruction to indefinite users online by allowing the users to contribute their motions with popular motion sensors shipped with game consoles (e.g., Microsoft’s Kinect). The system we prototyped, Motionary, provides functions for requesters to post videos of human motions on our website, and for interested contributors to help reconstruct these motions by performing these motions to our system. The system then records the 3D motions with Kinect during their performance. Our experience shows that the design has the potential to obtain quality motion data without great cost.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
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. DeFranco, D.E., Cham, T.-J., Rehg, J.M.: Reconstruction of 3-D Figure Motion from 2-D Correspondences. In: Computer Vision and Pattern Recognition, CVPR (2001)

    Google Scholar 

  2. Doan, A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing Systems on the World-Wide Web. Communications of the ACM 54(4), 86–96 (2011)

    Article  Google Scholar 

  3. Gargallo, P., Sturm, P.: Bayesian 3D Modeling from Images Using Multiple Depth Maps. In: IEEE Workshop on Motion and Video Computing, pp. 885–891 (2005)

    Google Scholar 

  4. Wei, X., Chai, J.: VideoMocap: Modeling Physically Realistic Human Motion from Monocular Video Sequences. In: Proc. of SIGGRAPH (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, National Tsing-Hua University, No.101, Sec. 2, Kuang-Fu Rd., East Dist., Hsinchu, 300, Taiwan (R.O.C.)

    Yueh-Tung Chen, Cheng-Hsien Han, Hao-Wei Jeng & Hao-Chuan Wang

  2. Institute of Information Systems and Applications, National Tsing-Hua University, No.101, Sec. 2, Kuang-Fu Rd., East Dist., Hsinchu, 300, Taiwan (R.O.C.)

    Hao-Chuan Wang

Authors
  1. Yueh-Tung Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cheng-Hsien Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hao-Wei Jeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hao-Chuan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Inria/IRISA Rennes, 35042, Rennes Cedex, France

    Marc Christie

  2. National Chengchi University, 11605, Taipei City, Taiwan, R.O.C.

    Tsai-Yen Li

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Chen, YT., Han, CH., Jeng, HW., Wang, HC. (2014). Crowdsourcing 3D Motion Reconstruction. In: Christie, M., Li, TY. (eds) Smart Graphics. SG 2014. Lecture Notes in Computer Science, vol 8698. Springer, Cham. https://doi.org/10.1007/978-3-319-11650-1_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11650-1_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11649-5

  • Online ISBN: 978-3-319-11650-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation