High-speed extraction of 3D structure of selectable quality using a translating camera

Computer Vision and Image Understanding

Volumn 64, Issue 1, 1996, Pages 97-110

  Dalmia, Arun K ^a   Trivedi, Mohan ^a  

^a University of Tennessee   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTATIONAL METHODS; CONTROLLABILITY; DATA ACQUISITION; ESTIMATION; IMAGE PROCESSING; IMAGE QUALITY; PIPELINE PROCESSING SYSTEMS; PROBLEM SOLVING; REAL TIME SYSTEMS; STEREO VISION; THREE DIMENSIONAL COMPUTER GRAPHICS;

ACCURACY; CONTROLLABLE RESOLUTION; DEPTH OF FIELD; HIGH SPEED EXTRACTION; IMAGE ACQUISITION; IMAGE MOTION; IMAGE SEQUENCE;

COMPUTER VISION;

EID: 0030196328     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1996.0047     Document Type: Article

References (24)

1. P. J. Besl, Active, optical range imaging sensors, Mach. Vision Appl. 1, 1988, 127-152.
2. S. Ullman, The interpretation of structure from motion, Proc. R. Soc. London Ser. B 203, 1979, 405-426.
3. J. K. Aggarwal and N. Nandhkumar, On the computation of motion from sequences of images - A review, Proc. IEEE 76, 1988, 917-935.
4. C. Tomasi and T. Kanade, Shape and motion from image streams under orthography: A factorization method, Int. J. Comput Vision 9, 1992, 137-154.
5. D. W. Murray and B. F. Buxton, Experiments in the Machine Interpretation of Visual Motion, MIT Press, Cambridge, MA, 1990.
6. T. J. Broida and R. Chellappa, Estimation of object motion parameters from noisy images, IEEE Trans. Pattern Anal. Mach. Intelligence 8, 1986, 90-99.
7. D. Marr and T. Poggio, Cooperative computation of stereo disparity, Science 194, 1976, 283-287.
8. W. E. L. Grimson, Computational experiments with a feature based stereo algorithm, IEEE Trans. Pattern Anal. Mach. Intelligence 7, 1985, 17-34.
9. S. T. Barnard and W. B. Thompson, Disparity analysis of images, IEEE Trans. Pattern Anal. Mach. Intelligence PAMI-2, 1980, 333-340.
10. N. Ayache and B. Faverjon, Efficient registration of stereo images by matching graph description of edge segments, Int. J. Comput. Vision, 1987, 107-131.
11. H. K. Nishihara, Practical real-time imaging stereo matcher, Opt. Eng. 23, 1984, 536-545.
12. H. S. Lim and T. O. Binford, Structural correspondence in stereo vision, in Proceedings of DARPA Image Understanding Workshop, 1988, pp. 794-808.
13. S. Marapane and M. M. Trivedi, Multi-primitive hierarchical (MPH) stereo analysis, IEEE Trans. Pattern Anal. Mach. Intelligence 16, 1994, 227-240.
14. R. Nevatia, Depth measurement by motion stereo, Comput. Graphics Image Process. 5, 1976, 203-214.
15. H. H. Baker and R. Bolles, Generalizing epipolar-plane image analysis on the spatiotemporal surface, Int. J. Computer. Vision 3, 1989, 33-49.
16. L. Matthies, R. Szeliski, and T. Kanade, Kalman filter-based algorithms for estimating depth from image sequences, in Proceedings of DARPA Image Understanding Workshop, 1988, pp. 199-213.
17. S. Negaharipour and B. K. P. Horn, Direct passive navigation, IEEE Trans. Pattern Anal. Mach. Intell. 9, 1987, 168-176.
18. K. Skifstad and R. Jain, Range estimation from intensity gradient analysis, Mach. Vision Appl. 2, 1989, 81-102.
19. A. L. Abbott and N. Ahuja, Surface reconstruction by dynamic integration of focus, camera vergence, and stereo, in Second International Conference on Computer Vision, 1988, pp. 532-543.
20. U. R. Dhond and J. K. Aggarwal, Structure from stereo - A review, IEEE Trans. Systems Man Cybernet. 19, 1989, 1489-1510.
21. A. K. Dalmia and M. M. Trivedi, A real time implementation of structure estimation using image streams, in Proceedings SPIE -Sensor Fusion VI, Vol. 2059, pp. 248-259, 1993.
22. K. D. Skifstad, High-Speed Range Estimation Based on Intensity Gradient Analysis, Springer-Verlag, Berlin/New York, 1991.
23. C. Tomasi and T. Kanade, Shape and motion without depth, in Proceedings of the Image Understanding Workshop, DARPA, Pittsburg, 1990, pp. 258-270.
24. B. K. P. Horn and B. G. Schunk, Determining optical flow, Artifi. Intell. 17, 1981, 185-203.