Effect of spatial sampling on pattern noise in insect-based motion detection

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5649, Issue PART 2, 2005, Pages 811-825

  Rajesh, Sreeja ^a   Straw, Andrew ^a,b   O'Carroll, David ^a   Abbott, Derek ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Artificial insect vision; Pattern noise; Reichardt correlator; Spatial sampling

Indexed keywords

CELLS; DATA PROCESSING; DATA REDUCTION; ERROR ANALYSIS; IMAGE PROCESSING; MATHEMATICAL MODELS; VELOCITY MEASUREMENT;

ARTIFICIAL INSECT VISION; PATTERN NOISE; REICHARDT CORRELATORS; SPATIAL SAMPLING;

MOTION ESTIMATION;

EID: 20044378521     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.598178     Document Type: Conference Paper

References (42)

1. B. Hassenstein and W. Reichardt, "Structure of a mechanism of perception of optical movement," Proceedings of the 1st International Conference on Cybernetics, pp. 797-801, 1956.
2. S. Rajesh, T. Rainsford, and D. C. O'Carroll, "Modelling pattern noise in responses of fly motion detectors to naturalistic scenes," In this volume, 2004.
3. E. H. Adelson and J. Bergen, "Spatiotemporal energy models for the perception of motion," Journal of the Optical Society of America A 2, pp. 284-299, 1985.
4. J. P. van Santen and G. Sperling, "Elaborated Reichardt detectors," Journal of the Optical Society of America A 2, pp. 300-321, 1985.
5. F. Wolf-Oberhollenzer and K. Kirschfeld, "Motion sensitivity in the nucleus of the basal optic root of the pigeon," Journal of Neurophysiology 71, pp. 1559-1573, 1994.
6. R. C. Emerson, M. C. Citron, W. J. Vaughn, and S. A. Klein, "Nonlinear directionally selective subunits in complex cells of cat striate cortex," Journal of Neurophysiology 58, pp. 33-65, 1987.
7. M. V. Srinivasan, S. W. Zhang, M. Lehrer, and T. S. Collet, "Honeybee navigation en route to the goal: visual flight control and odometry," Journal of Experimental Biology 199, pp. 237-244, 1996.
8. S. P. McKee, G. H. Silverman, and K. Nakayama, "Precise velocity discrimination despite random variation in temporal frequency and contrast," Vision Research 26, pp. 609-619, 1986.
9. M. Egelhaaf, A. Borst, and W. Reichardt, "Computational structure of a biological motion detection system as revealed by local detector analysis in the fly's nervous system," Journal of the Optical Society of America A 6, pp. 1070-1087, 1989.
10. R. O. Dror, D. C. O'Carroll, and S. B. Laughlin, "Accuracy of velocity estimation by Reichardt correlators," Journal of the Optical Society of America A 18, pp. 241-252, February 2001.
11. S. B. Laughlin, "Matching coding, circuits, cells and molecules to signals: general principles of retinal design in the fly's eye," Progress in Retinal Research 13, pp. 165-195, 1994.
12. M. Egelhaaf and A. Borst, "Transient and steady state response properties of movement detectors," Journal of the Optical Society of America A 6, pp. 116-127, 1989.
13. S. Single and A. Borst, "Dendritic integration and its role in computing image velocity," Science 281, pp. 1848-1850, 1998.
14. K. Hausen and M. Egelhaaf, Neural mechanisms of visual course control in insects, Facets in vision, edited by R. Hardie and D. Stavenga, Springer-Verlag, Berlin, 1989.
15. T. Maddess and S. B. Laughlin, "Adaptation of the motion sensitive neuron hi is generated locally and governed by contrast frequency," Proceedings of the Royal Society of London B 225, pp. 251-275, 1985.
16. R. A. Harris, D. C. O'Carroll, and S. B. Laughlin, "Adaptation and the temporal delay filter of fly motion detectors," Vision Research 39, pp. 2603-2613, 1999.
17. R. O. Dror, "Accuracy of visual velocity estimation by Reichardt correlators," Master's thesis, University of Cambridge, Cambridge, UK, 1998.
18. J. J. Koenderink and A. J. Vandoorn, "Facts on optic flow," Biological Cybernetics 54(4), pp. 247-254, 1987.
19. M. O. Franz and J. S. Chahl, "Insect-inspired estimation of self-motion," Proceedings of Biologically Motivated Computer Vision, Lecture Notes in Computer Science 2525, pp. 171-180, 2002.
20. N. J. Strausfeld and H. S. Seyan, "Convergence of visual, haltere and prosternal inputs at neck motor neurons of Calliphora erythrocephala" Cell and Tissue Research 240, pp. 601-615, 1985.
21. H. G. Krapp, B. Hengstenberg, and R. Hengstenberg, "Dendritic structure and receptive field organisation of optic flow processing interneurons in the fly," Journal of Neurophysiology 79, pp. 1902-1917, 1998.
22. M. O. Franz and H. G. Krapp, "Wide-field, motion sensitive neurons and matched filters for optic flow," Biological cybernetics 83, pp. 185-197, 2000.
23. C. Wehrhahn, "Motion sensitive yaw torque response of the housefly Musca: A quantitative study," Biological Cybernetics 55, pp. 275-280, 1986.
24. K. Hausen and R. Hengstenberg, "Multimodal convergence of sensory pathways on motor neurons of flight muscles in the fly Calliphora" Society for Neuroscience Abstracts 13, p. 1059, 1987.
25. M. Egelhaaf, "Dynamic properties of two control systems underlying visually guided turning in house-flies," Journal of Comparative Physiology A 161, pp. 777-783, 1987.
26. H. Eckert, "The horizontal cells in the lobula plate of the blowfly, Phaenicia sericata" Journal of Comparitive Physiology A 143, pp. 511-526, 1981.
27. G. Nalbach and R. Hengstenberg, "The halteres of the blowfly Calliphora: Three dimentional organisation of compensatory reaction to real and simulated rotations," Journal of Comparitive Physiology A 175, pp. 695-708, 1994.
28. W. P.Chan, F. Prete, and M. H. Dickinson, "Visual input to the efferent control system of a flys gyroscope," Science 280(5361), pp. 289-292, 1994.
29. M. A. Fyre and M. H. Dickinson, "Fly flight: A model for the neural control of complex behaviour," Neuron 32, pp. 385-388, 2001.
30. R. Hengstenberg, "Controlling the fly's gyroscopes," Nature 392, pp. 757-758, 1998.
31. D. C. O'Carroll, S. B. Laughlin, N. J. Bidwell, and R. A. Harris, "Spatio-temporal properties of motion detectors matched to low image velocities in hovering insects," Vision Research 37, pp. 3427-3439, 1997.
32. K. Hausen, "Motion sensitive interneurons in the optomotor system of the fly. the horizontal cells: Receptive field organisation and response characteristics," Biological Cybernetics 46, pp. 67-79, 1982.
33. D. L. Ruderman, "The statistics of natural images," Network: Computation in Neural System 5, pp. 517-548, 1994.
34. A. van der Schaaf and J. H. van Hateren, "Modelling the power spectra of natural images: Statistics and information," Vision Research 36(17), pp. 2759-2770, 1996.
35. D. L. Ruderman, "Origins of scaling in natural images," Vision Research 37(23), pp. 3385-3398, 1997.
36. E. P. Simoncelli and B. O. Olshausen, "Natural image statistics and neural representation," Annual Review of Neuroscience 24(1), pp. 193-216, 2001.
37. P. L. Clatworthy, M. Chirimuuta, J. S. Lauritzen, and D. J. Tolhurst, "Coding of the contrasts in natural images by populations of neurons in primary visual cortex (v1)," Vision Research 43, pp. 1983-2001, 2003.
38. Y. Petrov and L. Zhaoping, "Local correlations, information redundancy and sufficient pixel depth in natural images," Journal of Optical Society of America A 20(1), pp. 56-66, 2003.
39. D. Abbott, "Focus issue on unsolved problems of noise and fluctuations," Chaos 11(3), pp. 526-538, 2001.
40. R. O. Dror, D. C. O'Carroll, and S. B. Laughlin, "The role of natural image statistics in biological motion estimation," Proceedings of the IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea 1811, pp. 492-501, 2000.
41. D. L. Ruderman and W. Bialek, "Statistics of natural images: Scaling in the woods," Physical Review Letters 73(6), pp. 814-817, 1994.
42. S. Rajesh, D. C. O. Carroll, and D. Abbott, "Elaborated reichardt correlators for velocity estimation tasks," Proceedings of the SPIE Conference on Biomedical Applications of Micro and Nanoengineering, Melbourne, Australia 4937, pp. 241-253, 2002.