Families of tuned scale-space kernels

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

Volumn 588 LNCS, Issue , 1992, Pages 19-23

  Florack, L M J ^a   ter Haar Romeny, B M ^a   Koenderink, J J ^b   Viergever, M A ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

ENSEMBLE AVERAGES; FUNCTIONAL OPERATION; NEIGHBOURHOOD; PARAMETER SPACES; SCALE SPACES; SINGLE MODELS; VELOCITY TUNING;

COMPUTER VISION;

EID: 85029750727     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-55426-2_2     Document Type: Conference Paper

References (18)

1. A. Witkin, “Scale space filtering,” in Proc. International Joint Conference on Artificial Intelligence, (Karlsruhe, W. Germany), pp. 1019-1023, 1983.
2. J. J. Koenderink, “The structure of images,” Biol. Cybern., vol. 50, pp. 363-370, 1984.
3. T. Lindeberg, “Scale-space for discrete signals,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 3, pp. 234-245, 1990.
4. B. M. ter Haar Romeny, L. M. J. Florack, J. J. Koenderink, and M. A. Viergever, “Scale-space: Its natural operators and differential invariants,” in International Conf. on Information Processing in Medical Imaging, vol. 511 of Lecture Notes in Computer Science, (Berlin), pp. 239-255, Springer-Verlag, July 1991.
5. L. Florack, B. ter Haar Romeny, J. Koenderink, and M. Viergever, “Scale-space.” Submitted to IEEE PAMI, November 1991.
6. R. A. Young, “The gaussian derivative model for machine vision: I. retinal mechanisms,” Spatial Vision, vol. 2, no. 4, pp. 273-293, 1987.
7. P. Bijl, Aspects of Visual Contrast Detection. PhD thesis, University of Utrecht, University of Utrecht, Dept. of Med. Phys., Princetonplein 5, Utrecht, the Netherlands, May 1991.
8. J. J. Koenderink and A. J. van Doom, “Representation of local geometry in the visual system,” Biol. Cybern., vol. 55, pp. 367-375, 1987.
9. J. J. Koenderink and A. J. Van Doom, “Operational significance of receptive field assemblies,” Biol. Cybern., vol. 58, pp. 163-171, 1988.
10. J. J. Koenderink and A. J. van Doom, “Receptive field families,” Biol. Cybern., vol. 63, pp. 291-298, 1990.
11. P. Werkhoven, Visual Perception of Successive Order. PhD thesis, University of Utrecht, University of Utrecht, Dept. of Med. Phys., Princetonplein 5, Utrecht, the Netherlands, May 1990.
12. D. J. Heeger, “Model for the extraction of image flow,” Journal of the Optical Society of America-A, vol. 4, no. 8, pp. 1455-1471, 1987.
13. D. Heeger, “Optical flow using spatiotemporal filters,” International Journal of Computer Vision, vol. 1, pp. 279-302, 1988.
14. E. H. Adelson and J. R. Bergen, “Spatiotemporal energy models for the perception of motion,” Journal of the Optical Society of America-A, vol. 2, no. 2, pp. 284-299, 1985.
15. W. E. Reichardt and R. W. Schögl, “A two dimensional field theory for motion computation,” Biol. Cybern., vol. 60, pp. 23-35, 1988.
16. P. J. Olver, Applications of Lie Groups to Differential Equations, vol. 107 of Graduate Texts in Mathematics. Springer-Verlag, 1986.
17. J. J. Koenderink, “Scale-time,” Biol. Cybern., vol. 58, pp. 159-162, 1988.
18. A. J. Noest and J. J. Koenderink, “Visual coherence despite transparency or partial occlusion,” Perception, vol. 19, p. 384, 1990. Abstract of poster presented at the ECVP 1990, Paris.