Error Analysis in Stereo Determination of 3-D Point Positions

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn PAMI-9, Issue 6, 1987, Pages 752-765

  Blostein, Steven D ^a   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Computer vision; image quantization effects; passive; position error alysis; ranging; stereo image pairs; triangulation

Indexed keywords

IMAGE PROCESSING; MATHEMATICAL TECHNIQUES - ERROR ANALYSIS;

POSITION ESTIMATES; STEREO IMAGING; TRIANGULATION;

MECHANICAL VARIABLES MEASUREMENT;

EID: 0023453241     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.1987.4767982     Document Type: Article

References (17)

1. S. Barnard and M. A. Fischler, “Computational stereo,” Comput. Surveys, vol. 14, no. 4, Dec. 1982.
2. E. S. McVey and J. W. Lee, “Some accuracy and resolution aspects of computer vision distance measurements,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-4, pp. 646–649, Nov. 1982.
3. K. Drake, E. S. McVey, and R. M. Inigo, “Sensing error for a mobile robot using line navigation,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-7, pp. 485–490, July 1985.
4. S. D. Blostein, “Motion estimation based on stereo sequences,” M.S. thesis, Univ. Illinois at Urbana-Champaign, May 1985.
5. N. Ayache, O. D. Faugeras, B. Faverson, and G. Toscani, “Matching depth maps obtained by passive stereo,” in Proc. Third Workshop Computer Vision: Representation and Control, Bellaire, MI, Oct. 1 985.
6. D. Terzopoulos, “Multilevel computational processes for visual surface reconstruction,” Comput. Vision, Graphics, Image Processing, vol. 24, pp. 52–96, 1983.
7. H. P. Moravec, “Rover visual obstacle avoidance,” in Proc. 7th Int. Joint Conf. Artificial Intelligence, vol. 2, Vancouver, Aug. 1981, pp. 785–790.
8. R. A. Jarvis, “A perspective on range finding techniques for computer vision,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-5, 5, No. 2, Mar. 1983.
9. A. C. Kak, “Depth perception for robots,” Purdue Univ., Tech. Rep. TR-EE-83-44, 1983.
10. D. B. Gennery, “Object detection and measurement using stereo vision,” in Proc. Image Understanding Workshop, College Park, MD, Apr. 1980, pp. 161–167.
11. J. B. Thomas, An Introduction to Applied Probability and Random Processes. New York: Kreiger, 1971.
12. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York, 1973.
13. Y. Yakimovsky and R. Cunningham, “A system for extracting three-dimensional dimensional measurements from a stereo pair of TV cameras,” Comput. put. Graphics, Vision, Image Processing, vol. 7, pp. 195–210, 1978.
14. Manual of Photogrammetry, 3rd ed., Amer. Soc. Photogrammetry, 1966.
15. F. Solina, “Errors in stereo due to quantization,” Univ. Pennsylvania, Tech. Rep. MS-CIS-85-34, Sept. 1985.
16. A. Verri and V. Torre, “Absolute depth estimates in stereopsis,” J. Opt. Soc. Amer., vol. 3, no. 3, pp. 297–299, Mar. 1986.
17. O. D. Faugeras, N. Ayache, and B. Faverjon, “Building visual maps by combining noisy stereo measurements,” in Proc. 1986 IEEE Ro-botics and Automation Conf., pp. 1433–1438.