An active foveated vision system: Attentional mechanisms and scan path covergence measures

Computer Vision and Image Understanding

Volumn 63, Issue 1, 1996, Pages 50-65

  Yamamoto, Hiroyuki ^a,b   Yeshurun, Yehezkel ^c   Levine, Martin D ^a  

^a MCGILL UNIVERSITY   (Canada)

^b CANON INC   (Japan)

^c TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER ARCHITECTURE; IMAGE PROCESSING; PARALLEL PROCESSING SYSTEMS; PERFORMANCE; ROBOTS; SENSORS;

ACTIVE FOVEATED VISION SYSTEM; ATTENTIONAL MECHANISMS; CONVENTIONAL COMPUTERS; FIXATION POINT; FOVEATION; SCAN PATH CONVERGENCE; VISUAL PROCESSING; VISUAL SENSOR;

COMPUTER VISION;

EID: 0009853604     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1996.0004     Document Type: Article

References (46)

1. D. Noton and L. Stark, Scanpaths in sccadic eye movements while viewing and recognizing patterns, Vision Res. 11, 1971, 929-942.
2. E. L. Schwartz, Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception. Biol. Cybernetics 25, 1977, 181-194.
3. P. Burt and T. Adelson, The Laplacian pyramid as a compact image code, IEEE Trans. Commun. 1983, 532.
4. M. Tistarelli and G. Sandini, Estimation of depth from motion using an anthropomorphic visual sensor, Image Vision Comput. 8(4), 1990, 271-278.
5. A. S. Rojer and E. L. Schwartz, Design considerations for a space-variant visual sensor with complex-logarithmic geometry, Proc. ICPR, 1990, 278-285.
6. D. H. Ballard, Animated vision, Univ. of Rochester, Dept. of Computer Science, Tech. Rept. 61, TR, 1990.
7. A. Califano, R. Kjeldsen, and R. M. Bolle, Data and model driven foveation, Proc. ICPR, 1990, 1-8.
8. K. Pahlavan, T. Uhlin, and J. Eklundh, Integrating primary ocular processes, Proc. ECCV, 1992, 526-541.
9. J. L. Crowley, P. Bobet and M. Mesrabi, Gaze control for a binocular camera head, Proc. ECCV, 1992, 588-596.
10. D. R. Rimey and C. M. Brown, Where to look next using a Bayes net: Incorporating geometric relations, Proc ECCV, 1992, 543-550.
11. S. M. Culhane and J. K. Tsotsos, An attentional prototype for early vision, Proc ECCV, 1992, 551-560.
12. F. Attneave, Informational aspects of visual perception, Psychol. Rev. 61, 1954, 183-193.
13. L. Kaufman and W. Richards, Spontaneous fixation tendencies for visual forms, Perception Psychophys. 5(2), 1969, 85-88.
14. Y. Yeshurun and E. L. Schwartz, Shape description with a space-variant sensor: Algorithm for scan-path, fusion, and convergence over multiple scans. IEEE Trans. Pattern Anal. Machine Intell. 11(11), 1989, 1217-1222.
15. S. Peleg, O. Federbush, and R. Hummel, Custom Made Pyramids, in Parallel Computer Vision, (L. Uhr, Ed.), pp. 125-146, Academic Press, New York, 1987.
16. N. Sorek and Y. Y. Zeevi, Online visual data compression along a one dimensional scan, SPIE Vol. 1001 Visual Communication and Image Processing, 1988, 764-770.
17. D. Reisfeld, H. Wolfson, and Y. Yeshurun, Detection of interest points using symmetry, Proc. ECCV, 1990, 62-65.
18. J. Jonides, D. E. Irwin, and S. Yantis, Integrating visual information from successive fixations, Science 215(8), 1982, 192-194.
19. D. E. Irwin, S. Yantis, and J. Jonides, Evidence against visual integration across saccadic eye movements, Perception Psychophys. 34(1), 1983, 49-57.
20. J. R. Duhamel, C. L. Colby, and M. E. Goldberg, The updating of the representation of visual space in parietal cortex by intended eye movements, Science 255(3), 1992, 90-93.
21. M. D. Levine, Vision in Man and Machine, McGraw-Hill, New York, 1985.
22. J. J. Koenderink and A. J. VanDoorn, Visual detection of spatial contrast: Influence of location in the visual field, target extent, and illuminance level, Biol. Cybernetics 30, 1978, 157-167.
23. D. Casasent and D. Psaltis, Position, rotation, and scale invariant optical correlation, Appl. Optics 15(7), 1976, 1795-1799.
24. S. W. Wilson, On the retino-cortial mapping, Int. J. Man-Machine Stud. 18, 1983, 361-389.
25. R. Kronauer and Y. Zeevi, Reorganization and diversification of signals in vision, IEEE Trans. Syst. Man Cybernetics 15(1), 1985, 85-88.
26. J. Spiegel, F. Kreider, et al. A foveated retina-like sensor using CCD technology, in Analog VLSI Implementations of Neural Networks, (C. Mead and M. Ismail, Eds.), Kluwer, Boston, 1989.
27. C. F. R. Weiman, Video compression via log polar mapping, SPIE Symposium on OE/Aerospace Sensing, 1990.
28. A. Treisman. Preattentive processing in vision, Comput. Vision Graphics Image Process. 31, 1985, 156-177.
29. S. A. Hillyard and T. F. Münte, Selective attention to color and location: An analysis with event-related brain potentials, Perception Psychophys. 36(2), 1984, 185-198.
30. C. L. Colby, The neuroanatomy and neurophysiology of attention, Child Neurol. 6, 1991, S90-S118.
31. C. Koch and S. Ullman, Shifts in selective visual attention: Towards the underlying neural circuitry, Human Neurol. 4, 1985, 219-227.
32. P. A. Sandon, Simulating visual attention, Cognit. Neuroscience 2(3), 1992, 213-231.
33. J. R. Antes and J. Penland, Picture context effects on eye movement patterns, in Eye Movements: Cognition and Visual Perception. (R. Monty, J. Senders, and D. Fisher, Eds.), pp. 157-170, Laurence Erlbaum Associates, Hillsdale, NJ, 1981.
34. N. H. Mackworth and J. S. Brunner, How adults and children search and recognize pictures, Human Develop. 13, 1970, 149-177.
35. M. M. Haith, T. Bergman, and M. J. Moore, Eye contact and face scanning in early infancy, Science, 190, 1977, 853-855.
36. H. P. Moravec, Towards automatic visual obstacle avoidance, Proc. IJCAI, 1977, 584.
37. S. W. Zucker, Early orientation selection: Tangent fields and the dimensionality of their support, Comput. Vision Graphics Image Process. 32, 1985, 74-103.
38. S. W. Zucker, A. Dobbins, and L. Iverson, Two stages of curve detection suggest two styles of visual computation, Neural Computation (1), 1989, 68-81.
39. D. Reisfeld and Y. Yeshurun, Robust detection of facial features by generalized symmetry, Proc. ICPR, 1992, 117-121.
40. J. K. Tsotsos, On the relative complexity of active vs. passive visual search, Int. J. Comput. Vision 7(2), 1992, 127-141.
41. A. Pugh, Polyhedra - A Visual Approach. Univ. of California Press, Los Angeles, 1976.
42. B. K. P. Horn, Extended Gaussian images, Proc. IEEE 72(12), 1984, 1671-1686.
43. G. Fekete and L. S. Davis, Property spheres: A new representation for 3-D object recognition, Proc. IEEE Workshop on Computer Vision, 1984, 192-201.
44. C. H. Chen and A. C. Kak, A robot vision system for recognizing 3-D objects in low-order polynomial time, IEEE Trans. Systems Man Cybernetics 19(6), 1989, 1535-1563.
45. R. Y. Tsai and R. K. Lenz, A new technique for fully autonomous and efficient 3D robotics hand/eye calibration, IEEE Trans. Robotics Automation 5(3), June 1989, 345-358.
46. J. Lloyd, M. Parker, and R. McClain, Extending the RCCL programming environment to multiple robots and processors, Proc. Int. Conf. on Robotics and Automation, 1988, 465-469.