Affine Camera for 3-D Retinal Surface Reconstruction (original) (raw)

Abstract

We study 3D retinal surface reconstruction by using an affine camera due to two following reasons: (1) NIH’s retinal imaging protocols specify a narrow field of view and (2) each retinal image has small depth variation. Specifically, we incorporate the prior knowledge of human retina geometry in the reconstruction process, and introduce a point-based approach to estimate the retinal spherical surface. We also show that lens distortion removal and affine bundle adjustment improve the reconstruction error in terms of the deviation from the underling spherical surface. Simulation results on both synthetic data and real images show the effectiveness and robustness of the proposed algorithm.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, 74078, USA
    Thitiporn Chanwimaluang & Guoliang Fan

Authors

  1. Thitiporn Chanwimaluang
  2. Guoliang Fan

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA
    George Bebis
  2. NASA Ames Research Center, Moffett Field, CA, USA
    Richard Boyle
  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA
    Bahram Parvin
  4. Desert Research Institute, Reno, NV, USA
    Darko Koracin
  5. Digital Image Research Center, Kingston University, London, UK
    Paolo Remagnino
  6. Intel, 95052, Santa Clara, CA, USA
    Ara Nefian
  7. University of California, 430, Computer Science Building, 92697-3425, Irvine, CA, USA
    Gopi Meenakshisundaram
  8. Institute for Data Analysis and Visualization, P.O. Box
    Valerio Pascucci
  9. Department of Computer Science and Engineering, Czech Technical University in Prague, Czech
    Jiri Zara
  10. Rockwell Scientific, 1049 Camino Dos Rios, 91360, Thousand Oaks, CA, USA
    Jose Molineros
  11. Computer Graphics Group, Bielefeld University, D-33501, Bielefeld, Germany
    Holger Theisel
  12. Hewlett Packard Labs, Palo Alto, CA, USA
    Tom Malzbender

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© 2006 Springer-Verlag Berlin Heidelberg

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Chanwimaluang, T., Fan, G. (2006). Affine Camera for 3-D Retinal Surface Reconstruction. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629\_3

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