A geometric model for cortical magnification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1811, Issue , 2000, Pages 574-583

  Florack, Luc ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

CONFORMAL METRICS; FOVEAL VISION; GEOMETRIC MODELING; RECEPTIVE FIELDS; RELATIVE SIZES; RIEMANNIAN MANIFOLD;

GEOMETRY;

EID: 84958542360     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45482-9_58     Document Type: Conference Paper

References (20)

1. P. Bijl. Aspects of Visual Contrast Detection. PhD thesis, University of Utrecht, Department of Physics, Utrecht, The Netherlands, May 8 1991.
2. Y. Choquet-Bruhat, C. DeWitt-Morette, and M. Dillard-Bleick. Analysis, Manifolds, and Physics. Part I: Basics. Elsevier Science Publishers B.V. (North- Holland), Amsterdam, 1991.
3. P. M. Daniel and D. Whitteridge. The representation of the visual field on the cerebral cortex in monkeys. Journal of Physiology, 159:203-221, 1961.
4. B. Fischer and H. U. May. Invarianzen in der Katzenretina: Gesetzmafiige Beziehungen zwischen Empfindlichkeit, Grofie und Lage rezeptiver Felder von Ganglienzellen. Experimental Brain Research, 11:448-464, 1970.
5. L. M. J Florack. Image Structure, volume 10 of Computational Imaging and Vision Series. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1997.
6. L. M. J. Florack. Non-linear scale-spaces isomorphic to the linear case. In B. K. Ersb0ll and P. Johansen, editors, Proceedings of the llth Scandinavian Conference on Image Analysis (Kangerlussuaq, Greenland, June 7-11 1999), volume 1, pages 229-234, Lyngby, Denmark, 1999.
7. L. M. J. Florack, R. Maas, and W. J. Niessen. Pseudo-linear scale-space theory. International Journal of Computer Vision, 31(2/3):247-259, April 1999.
8. L. M. J. Florack, A. H. Salden, B. M. ter Haar Romeny, J. J. Koenderink, and M. A. Viergever. Nonlinear scale-space. In B. M. ter Haar Romeny, editor, Geometry- Driven Diffusion in Computer Vision, volume 1 of Computational Imaging and Vision Series, pages 339-370. Kluwer Academic Publishers, Dordrecht, 1994.
9. B. M. ter Haar Romeny, L. M. J. Florack, J. J. Koenderink, and M. A. Viergever, editors. Scale-Space Theory in Computer Vision: Proceedings of the First International Conference, Scale-Space’97, Utrecht, The Netherlands, volume 1252 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, July 1997.
10. J. J. Koenderink. The structure of images. Biological Cybernetics, 50:363-370, 1984.
11. J. J. Koenderink. The brain a geometry engine. Psychological Research, 52:122-127, 1990.
12. J. J. Koenderink and A. J. van Doom. Receptive field families. Biological Cybernetics, 63:291-298, 1990.
13. T. Lindeberg. Scale-Space Theory in Computer Vision. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1994.
14. S. L. Polyak. The Retina. University of Chicago Press, Chicago, 1941.
15. R. W. Rodieck. The First Steps in Seeing. Sinauer Associates, Inc., Sunderland, Massachusetts, 1998.
16. M. Spivak. Differential Geometry, volume 1-5. Publish or Perish, Berkeley, 1975.
17. J. Sporring, M. Nielsen, L. M. J. Florack, and P. Johansen, editors. Gaussian Scale-Space Theory, volume 8 of Computational Imaging and Vision Series. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1997.
18. F. W. Weymouth. Visual sensory units and the minimal angle of resolution. American Journal of Ophthalmology, 46:102-113, 1958.
19. A. P. Witkin. Scale-space filtering. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 1019-1022, Karlsruhe, Germany, 1983.
20. R. A. Young. The Gaussian derivative model for machine vision: Visual cortex simulation. Journal of the Optical Society of America, July 1986