Skip to main content

Mapping of the 3D Objects Using Computer Generated Hologram SOM

  • Conference paper
Advances in Self-Organizing Maps (WSOM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6731))

Included in the following conference series:

  • 1655 Accesses

Abstract

We propose the algorithm of CGH (Computer Generated Hologram)-SOM, in which SOM can organize the 3D information of objects on the map, using Fresnel hologram as memories of the units. The performance of CGH-SOM is also examined by experiments. Fresnel Hologram, which is conventionally implemented on photographic dry plates, can record the 3D information of an object, and can be used to recognize 3D objects. In the algorithm, we implemented Fresnel hologram as Computer Generated Hologram, which virtually simulates the photographic processing in the computer.

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

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. Yu, F.T.S., Lu, X.J.: A real-time programmable joint transform correlator. Opt. Commun. 52, 10–16 (2000)

    Article  Google Scholar 

  2. Orihara, Y., Klaus, W., Fujino, M., Kodate, K.: Optimization and application of Hybrid level binary zone plates. Appl. Opt. 40(32), 5877–5885 (2001)

    Article  Google Scholar 

  3. Dallas, W.J.: Computer-Generated Holograms. Digital Holography and Three Dimensional Display, pp. 1–49. Springer, Heidelberg (2006), doi:10.1007/0-387-31397-4_1

    Google Scholar 

  4. Yu, F.T.S., Jutammulia, S.: Optical pattern recognition. Cambridge Univ. Press, New York (1998)

    Google Scholar 

  5. Tudela, R., Mart N-Badosa, E., Badosa, A., Labastida, I., Vallmitjana, S., Juvells, I., Carnicer, A.: Full complex Fresnel holograms displayed on liquid crystal devices. Journal of Optics A: Pure and Applied Optics 5, 189–194 (2003)

    Article  Google Scholar 

  6. Dozono, H., Nakakuni, M.: Application of Supervised Pareto Learning Self Organizing Maps to Multi-modal Biometric Authentication (in Japanese). IPSJ Journal 49(9), 3028–3037 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dozono, H., Tanaka, A., Nishijima, S., Tsukizi, H., Nakakuni, M. (2011). Mapping of the 3D Objects Using Computer Generated Hologram SOM. In: Laaksonen, J., Honkela, T. (eds) Advances in Self-Organizing Maps. WSOM 2011. Lecture Notes in Computer Science, vol 6731. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21566-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21565-0

  • Online ISBN: 978-3-642-21566-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics