Sensor Planning for 3D Object Search

Computer Vision and Image Understanding

Volumn 73, Issue 2, 1999, Pages 145-168

  Ye, Yiming ^a   Tsotsos, John K ^b  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTATIONAL COMPLEXITY; HEURISTIC METHODS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; ROBOTS; SENSORS;

OBJECT SEARCH; SENSOR PLANNING;

COMPUTER VISION;

EID: 0033078820     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1998.0736     Document Type: Article

References (66)

1. A. Abbott, N. Ahuja, Surface reconstruction by dynamic integration of focus, camera vergence, and stereo, Second International Conference on Computer Vision, Florida, December 1988, 532, 543.
2. A. L. Abbott, Selective fixation control for machine vision: A survey, IEEE International Conference on System, Man and Cybernetics, August 1991, 1, 6.
3. Y. Aloimonous, I. Weiss, A. Bandyopadhyay, Active vision, First International Conference on Computer Vision, London, June 1987, 35, 54.
4. R. Bajcsy, Active perception vs passive perception, Third IEEE Workshop on Vision, Bellaire, 1985, 55, 59.
5. Bajcsy R., Campos M. Active and exploratory perception. CVGIP: Image Understanding. 56:1992;31-40.
6. Balke A., Yuille A. Active Vision. 1992.
7. Ballard D. Animate vision. Artificial Intell. 48:1991;57-86.
8. D. H. Ballard, Task frames in visuo-motor coordination, Proceedings IEEE Workshop on Computer Vision: Representation and Control, Bellaire MI, 1985, 3, 10.
9. D. H. Ballard, A. Ozcandarli, Eye fixation and early vision: Kinetic depth, Second International Conference on Computer Vision, Florida, December 1988, 524, 531.
10. Bolle R., Califano A., Kjeldsen R. Data and Model Driven Foveation. October 1989.
11. Brand M. An eye for design: Why, where and how to look for causal structure in visual scenes. SPIE. Intell. Robots Comput. Vision. 1825:1992;180-188.
12. Brooks R. Intelligence without representation. Artificial Intell. 47:1991;139-160.
13. C. Brown, Issues in selective perception, 11th International Conference on Pattern Recognition, 1992, 21, 30.
14. Connel. An Artificial Creature. 1989.
15. Cowan C. K., Kovesi P. D. Automatic sensor placement from vision task requirements. IEEE Trans. Pattern Anal. Mach. Intell. 10:1988;407-416.
16. S. Culhane, J. Tsotsos, An attentional prototype for early vision, Second European Conference on Computer Vision, Santa Margherita Ligure, Italy, May 1992, 551, 560.
17. T. Dean, Sequential decision making for active perception, Image Understanding Workshop, Pennsylvania, September 1990, 889, 894.
18. Dickinson S., Christensen H., Tsotsos J., Olofsson G. Active object recognition integrating attention and viewpoint control. Comput. Vision Image Understanding. 67:1997;239-260.
19. Garvey T. D. Perceptual Strategies for Purposive Vision. 1976.
20. Gibson J. The Perception of the Visual World. 1950.
21. Gibson J. The Ecological Approach to Visual Perception. 1979.
22. Horowitz E., Sahni S. Fundamentals of Computer Algorithms. 1978.
23. Hubel D. Eye, Brain and Vision. 22:1988.
24. Hutchinson S., Kak A. Spar: A planner that satisfies operational and geometric goals in uncertain environments. AI Magazine. 11:1990;30-61.
25. P. Jasiobedzki, M. Jenkin, E. Milios, B. Down, J. Tsotsos, Laser eye - a new 3d sensor for active vision, Intelligent Robotics and Computer Vision: Sensor Fusion VI. Proceedings of SPIE. Boston, Sept. 1993, 2059, 316, 321.
26. F. Jensen, H. Christensen, J. Nielsen, Baysian methods for interpretation and control in multiagent vision systems, SPIE Applications of AI X: Machine Vision and Robotics, Orlando, FL, April 1992, 1708, 536, 548.
27. Allen T. K. P., Tsai R. A Survey of Sensor Planning in Computer Vision. 1992.
28. J. Kender, Freudenstein, What is a "degenerate" view?, Image Understanding Workshop, California, February 1987, 589, 598.
29. H. Kim, R. Jain, R. A. Volz, Object recognition using multiple views, 1985 IEEE Intervnational Conference on Robotics and Automation, July 1985, 28, 33.
30. Koenderink J., van Doorn A. The internal representation of solid shape with respect to vision. Biol. Cybernet. 32:1979;211-216.
31. Koopman B. O. Search and Screen: General Principles with Historical Applications. 1980.
32. Kriegman D. J., Triendl E., Binford T. O. Stereo vision and navigation in building for mobile robots. IEEE Trans. Robotics Automat. 5:1989;792-803.
33. Krotkov E. Int. J. Comput. Vision. 1:1987;223-237.
34. Krotkov E. Active Computer Vision by Cooperative Focus and Stereo. 1989.
35. K. Kutulakos, Dyer, Recovering shape by purposive viewpoint adjustment, Proceedings of Computer Vision and Pattern Recognition, Illinois, June 1992, 16, 22.
36. T. Levitt, J. Agosta, T. Binford, Baysian methods for interpretation and control in multiagent vision systems, SPIE Applications of AI X: Machine Vision and Robotics, K. Bowyer, Orlando, FL, April 1992, 1708, 536, 548.
37. S. Li, Realizing active vision by a mobile robot, IEEE Workshop on Visual Motion, 1991, 205, 209.
38. Mathies L., Shafer S. A. Error modeling in stereo navigation. IEEE J. Robotics Automat. 3:1987;239-248.
39. J. Maver, R. Bajcsy, How to decide from the first view where to look next, Proceedings of the DARPA Image Understanding Workshop, September 1990.
40. J. Maver, R. Bajcsy, Occlusions and the next view planning, IEEE 1992 International Conference on Robotics and Automation, April 1992, 1806, 1811.
41. Nelson R. C. Introduction: Vision as intelligent behavior: An introduction to machine vision at the University of Rochester. Int. J. Comput. Vision. 7:1991.
42. S. Nickerson, M. Jenkin, E. Milios, B. Down, P. Jasiobedzki, A. Jepson, D. Terzopoulos, J. Tsotsos, D. Wilkes, N. Bains, K. Tran, Ark: Autonomous navigation of a mobile robot in a known environment, Intelligent Autonomous Systems-3, Pennsylvania, February 1993, 288, 296.
43. R. A. Brooks, J. H. Connell, Asynchronous distributed control system for a mobile robot, Mobile Robots: Proc. SPIE 727, California, 1987.
44. R. Rimey, C. Brown, Where to look next using a bayes net: Incorporating geometric relations, Second European Conference on Computer Vision, Santa Margherita Ligure, Italy, May 1992, 542, 550.
45. Shmuel A., Werman. Active vision: 3d from an image sequence. 10th International Conference on Pattern Recognition. June 1990;48-54.
46. M. Swain, M. Stricker, Promising directions in active vision, Univ. of Chicago, 1991.
47. Tarabanis K., Tsai R. Y., Allen P. K. Analytical characterization of the feature detectability constraints of resolution, focus, and field of view for vision sensor planning. CVGIP: Image Understanding. 59:1994;340-358.
48. Thorpe C. E., Hebert M., Kanade T., Shafer S. Vision and navigation for the Carnegie-Mellon Navlab. IEEE Trans. Pattern Anal. Mach. Intell. 10:May 1988;362-373.
49. Tsotsos J. A complexity level analysis of immediate vision. Int. J. Comput. Vision. 4:1988;303-320.
50. Tsotsos J. Analyzing vision at the complexity level. Behavioral Brain Sci. 13:1990;423-469.
51. Tsotsos J. 3d Search Strategy. 1992.
52. Tsotsos J. Active verses passive perception, which is more efficient. Int. J. Comput. Vision. 7:1992;127-141.
53. Tsotsos J. On the relative complexity of active vs. passive visual search. Int. J. Comput. Vision. 7:1992;127-141.
54. Turk M. A., Morgenthaler D. G., Gremban K. D., Marra M. Vits - a vision system for autonomous land vehicle navigation. IEEE Trans. Pattern Anal. Mach. Intell. 10:May 1988;362-373.
55. Grimson W. E. Sensing strategies for disambiguating among multiple objects in known poses. IEEE J. Robotics Automat. 2:1986;196-213.
56. Whaite P., Ferrie F. P. From uncertainty to visual exploratory. IEEE Trans. Pattern Anal. Mach. Intell. 13:1991;1308-1049.
57. Wilkes D. Active Object Recognition. 1994.
58. Wilkes D., Tsotsos J. Active object recognition. Proceedings of Computer Vision and Pattern Recognition. June 1992;136-141.
59. Wixson L., Ballard D. Using intermediate object to improve the efficiency of visual search. Int. J. Comput. Vision. 18:1994;209-230.
60. Wixson L. E. Gaze Selection for Visual Search. 1994.
61. Ye Y. Sensor Planning in 3D Object Search. 1996.
62. Y. Ye, J. K. Tsotsos, The detection function in object search, Proceedings of the Fourth International Conference for Young Computer Scientists, Beijing, 1995, 868, 873.
63. Y. Ye, J. K. Tsotsos, Where to look next in 3d object search, 1995 IEEE International Symposium for Computer Vision, Florida, November 19-21, 1995.
64. Y. Ye, J. K. Tsotsos, Sensor planning in 3d object search: its formulation and complexity, The 4th International Symposium on Artificial Intelligence and Mathematics, Florida, January 3-5, 1996.
65. S. Yi, Automatic sensor and light source positioning for machine vision, 10th International Conference on Pattern Recognition, New Jersey, June 1990, 55, 59.
66. J. Zheng, F. Kishino, Q. Chen, S. Tsuji, Active camera controlling for manipulation, Proc. Computer Vision and Pattern Recognition, Washington, 1991.