Nothing Special   »   [go: up one dir, main page]

Skip to main content

Evaluation of a 3D Video Conference System Based on Multi-camera Motion Parallax

  • Conference paper
Natural and Artificial Computation in Engineering and Medical Applications (IWINAC 2013)

Abstract

Video conference systems have evolved little regarding 3D vision. An exception is where it is necessary to use special glasses for viewing 3D video. This work is based primarily on the signal of vision motion parallax. Motion parallax consists in harnessing the motion of the observer, and offering a different view of the observed environment depending on his/her position to get some 3D feeling. Based on this idea, a client-server system has been developed to create a video conference system. On the client side, a camera that sends images to the server is used. The server processes the images to capture user movement from detecting the position of the face. Depending on this position, an image is composed using multiple cameras available on the server side. Thanks to this image composition, and depending on the user standpoint, 3D feeling is achieved. Importantly, the 3D effect is experienced without the use of glasses or special screens. Further, various composition models or change modes between cameras have been included to analyze which of them achieves a greater improvement of the 3D effect.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Azari, H., Cheng, I., Daniilidis, K., Basu, A.: Optimal pixel aspect ratio for enhanced 3D TV visualization. Computer Vision and Image Understanding 116(1), 38–53 (2012)

    Article  Google Scholar 

  2. Yoonessi, A., Baker Jr., C.L.: Contribution of motion parallax to segmentation and depth perception. Journal of Vision 11(9), 1–21 (2011)

    Article  Google Scholar 

  3. Fernández-Caballero, A., López, M.T., Saiz-Valverde, S.: Dynamic Stereoscopic Selective Visual Attention (DSSVA): Integrating motion and shape with depth in video segmentation. Expert Systems with Applications 34(2), 1394–1402 (2008)

    Article  Google Scholar 

  4. López-Valles, J.M., Fernández, M.A., Fernández-Caballero, A.: Stereovision depth analysis by two-dimensional motion charge memories. Pattern Recognition Letters 28(1), 20–30 (2007)

    Article  Google Scholar 

  5. Fernández-Caballero, A., López, M.T., Mira, J., Delgado, A.E., López-Valles, J.M., Fernández, M.A.: Modelling the stereovision-correspondence-analysis task by lateral inhibition in accumulative computation problem-solving method. Expert Systems with Applications 33(4), 955–967 (2007)

    Article  Google Scholar 

  6. Li, I.K.Y., Peek, E.M., Wünsche, B.C., Lutteroth, C.: Enhancing 3D applications using stereoscopic 3D and motion parallax. In: Proceedings of the Thirteenth Auatralasian User Interface Conference, pp. 59–68 (2012)

    Google Scholar 

  7. Fernandez, J.M., Farell, B.: A neural model for the integration of stereopsis and motion parallax in structure from motion. Neurocomputing 71(7-9), 1629–1641 (2008)

    Article  Google Scholar 

  8. Zhang, C., Yin, Z., Florêncio, D.: Improving depth perception with motion parallax and its application in teleconferencing. In: IEEE International Workshop on Multimedia Signal Processing, MMSP 2009, pp. 1–6 (2009)

    Google Scholar 

  9. Harrison, C., Hudson, S.E.: Pseudo-3d video conferencing with a generic webcam. In: Tenth IEEE International Symposium on Multimedia, ISM 2008, pp. 236–241 (2008)

    Google Scholar 

  10. Zhang, C., Florêncio, D., Zhang, Z.: Improving immersive experiences in telecommunication with motion parallax. IEEE Signal Processing Magazine 28(1), 139–144 (2010)

    Article  Google Scholar 

  11. OpenCV. Open source computer vision (2013), http://opencv.org/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Muñoz, M.A., Martínez, J., Molina, J.P., González, P., Fernández-Caballero, A. (2013). Evaluation of a 3D Video Conference System Based on Multi-camera Motion Parallax. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38622-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38621-3

  • Online ISBN: 978-3-642-38622-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics