Skip to main content

Implementation of Quaternion Based Lifting Scheme for Motion Data Editor Software

  • Conference paper
Book cover Intelligent Information and Database Systems (ACIIDS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8398))

Included in the following conference series:

Abstract

Motion analysis is rapidly developing area of research. Due to availability of cheaper hardware with reasonable accuracy for motion acquisition in form of various motion controllers, dedicated mainly for gaming, there are rising new research groups interested in this topic. Proposed solutions for motion analysis have a wide range of application in medicine, sport, entertainment and security. Although motion analysis is one of the most important domains of our everyday life, there are still no good tools supporting knowledge exchange and experiments in this field. In this paper we want to introduce a possibility of implementing specialised wavelet analysis in form of the lifting scheme for motion data in quaternion representation in a data flow processing framework available in Motion Data Editor (MDE) software developed at Polish-Japanese Institute of Information Technology (PJWSTK) in Bytom (Poland). We want to show how easily custom solutions can be introduced to this general purpose data processing software. Usage of this software saves time by concentrating on rapid prototyping of new algorithms and performing experiments, skipping creation of similar solutions for various data types and algorithms.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Mokka Motion kinematic & kinetic analyzer, http://b-tk.googlecode.com/svn/web/mokka/index.html

  2. Beaudoin, P., Poulin, P., van de Panne, M.: Adapting wavelet compression to human motion capture clips. In: Proceedings of Graphics Interface 2007, pp. 313–318. ACM (2007)

    Google Scholar 

  3. Fog, A.: The microarchitecture of intel, amd and via cpus. In: An Optimization Guide for Assembly Programmers and Compiler Makers. Copenhagen University College of Engineering (2011)

    Google Scholar 

  4. Hennessy, J.L., Patterson, D.A.: Computer Architecture: A Quantitative Approach. Elsevier (2012)

    Google Scholar 

  5. Hsieh, C.-C.: B-spline wavelet-based motion smoothing. Computers & Industrial Engineering 41(1), 59–76 (2001)

    Article  Google Scholar 

  6. Hsieh, C.-C.: Motion smoothing using wavelets. Journal of Intelligent and Robotic Systems 35(2), 157–169 (2002)

    Article  MATH  Google Scholar 

  7. Lee, J., Shin, S.Y.: A coordinate-invariant approach to multiresolution motion analysis. Graphical Models 63(2), 87–105 (2001)

    Article  MATH  Google Scholar 

  8. Lee, J., Shin, S.Y.: General construction of time-domain filters for orientation data. IEEE Transactions on Visualization and Computer Graphics 8(2), 119–128 (2002)

    Article  Google Scholar 

  9. Shen, J.P., Lipasti, M.H.: Modern processor design: fundamentals of superscalar processors, vol. 2. McGraw-Hill Higher Education (2005)

    Google Scholar 

  10. Shoemake, K.: Quaternion calculus and fast animation, siggraph course notes (1987)

    Google Scholar 

  11. Šilc, J., Robič, B., Ungerer, T.: Processor Architecture: From Dataflow to Superscalar and Beyond; with 34 Tables. Springer (1999)

    Google Scholar 

  12. Smith, J.E., Pleszkun, A.R.: Implementing precise interrupts in pipelined processors. IEEE Transactions on Computers 37(5), 562–573 (1988)

    Article  Google Scholar 

  13. Szczesna, A., Slupik, J., Janiak, M.: Motion data denoising based on the quaternion lifting scheme multiresolution transform. Machine Graphics & Vision 20(3), 238–249 (2011)

    Google Scholar 

  14. Szczesna, A., Slupik, J., Janiak, M.: Quaternion lifting scheme for multi-resolution wavelet-based motion analysis. In: The Seventh International Conference on Systems, ICONS 2012, pp. 223–228 (2012)

    Google Scholar 

  15. Szczęsna, A., Słupik, J., Janiak, M.: The smooth quaternion lifting scheme transform for multi-resolution motion analysis. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 657–668. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  16. Vicon Motion Systems. Polygon User Manual

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Janiak, M., Szczęsna, A., Słupik, J. (2014). Implementation of Quaternion Based Lifting Scheme for Motion Data Editor Software. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8398. Springer, Cham. https://doi.org/10.1007/978-3-319-05458-2_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05458-2_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05457-5

  • Online ISBN: 978-3-319-05458-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics