Generating EPI Representations of 4D Light Fields with a Single Lens Focused Plenoptic Camera

  • Sven Wanner
  • Janis Fehr
  • Bernd Jähne
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6938)


In this paper, we present a novel method for the generation of Epipolar-Image (EPI) representations of 4D Light Fields (LF) from raw data captured by a single lens “Focused Plenoptic Camera”. Compared to other LF representations which are usually used in the context of computational photography with Plenoptic Cameras, the EPI representation is more suitable for image analysis tasks - providing direct access to scene geometry and reflectance properties.

The generation of EPIs requires a set of “all in focus” (full depth of field) images from different views of a scene. Hence, the main contribution of this paper is a novel algorithm for the rendering of such images from a single raw image captured with a Focused Plenoptic Camera. The main advantage of the proposed approach over existing full depth of field methods is that is able to cope with non-Lambertian reflectance in the scene.


Image Plane Patch Size Light Fields Stereo Match Microlens Array 
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  1. 1.
    Lumsdaine, A., Georgiev, T.: The focused plenoptic camera. In: Proc. IEEE ICCP, pp. 1–8 (2009)Google Scholar
  2. 2.
    Georgiev, T., Lumsdaine, A.: Focused plenoptic camera and rendering. Journal of Electronic Imaging 19, 021106 (2010)CrossRefGoogle Scholar
  3. 3.
    Ng, R., Levoy, M., Brédif, M., Duval, G., Horowitz, M., Hanrahan, P.: Light field photography with a hand-held plenoptic camera. Computer Science Technical Report CSTR 2 (2005)Google Scholar
  4. 4.
    Bishop, T., Favaro, P.: Full-resolution depth map estimation from an aliased plenoptic light field. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part II. LNCS, vol. 6493, pp. 186–200. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  5. 5.
    Perwass, C.: The next generation of photography. White Paper,
  6. 6.
    Zhang, C., Chen, T.: Light Field Sampling. Morgan & Claypool Publishers, San Francisco (2005)Google Scholar
  7. 7.
    Wilburn, B., Joshi, N., Vaish, V., Talvala, E.V., Antunez, E., Barth, A., Adams, A., Horowitz, M., Levoy, M.: High performance imaging using large camera arrays. ACM Trans. Graph. 24, 765–776 (2005)CrossRefGoogle Scholar
  8. 8.
    Levin, A., Freeman, W.T., Durand, F.: Understanding camera trade-offs through a bayesian analysis of light field projections. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part IV. LNCS, vol. 5305, pp. 88–101. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  9. 9.
    Ziegler, R., Bucheli, S., Ahrenberg, L., Magnor, M., Gross, M.: A bidirectional light field-hologram transform. In: Computer Graphics Forum, vol. 26, pp. 435–446. Wiley Online Library, Chichester (2007)Google Scholar
  10. 10.
    Criminisi, A., Kang, S.B., Swaminathan, R., Szeliski, R., Anandan, P.: Extracting layers and analyzing their specular properties using epipolar-plane-image analysis. Comput. Vis. Image Underst. 97, 51–85 (2005)CrossRefGoogle Scholar
  11. 11.
    Xu, G., Zhang, Z.: Epipolar geometry in stereo, motion and object recognition (1996)Google Scholar
  12. 12.
    Adelson, E.H., Wang, J.Y.A.: Single lens stereo with a plenoptic camera. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 99–106 (1992)CrossRefGoogle Scholar
  13. 13.
    Georgiev, T., Lumsdaine, A.: Reducing plenoptic camera artifacts. In: Computer Graphics Forum. Wiley Online Library, Chichester (2010)Google Scholar
  14. 14.
    Bishop, T., Favaro, P.: Plenoptic depth estimation from multiple aliased views. In: 2009 IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), pp. 1622–1629. IEEE, Los Alamitos (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sven Wanner
    • 1
  • Janis Fehr
    • 1
  • Bernd Jähne
    • 1
  1. 1.Heidelberg Collaboratory for Image Processing (HCI)Germany

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