Automatic matching and three-dimensional reconstruction of free-form linear features from stereo images

Photogrammetric Engineering and Remote Sensing

Volumn 69, Issue 2, 2003, Pages 189-197

  Habib, Ayman F ^a   Lee, Young Ran ^a   Morgan, Michel ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; EDGE DETECTION; IMAGE RECONSTRUCTION; LIGHTING; OPTICAL CORRELATION; PHOTOGRAMMETRY; STEREO VISION; WAVEGUIDES;

AUTOMATIC MATCHING; MODIFIED ITERATED HOUGH TRANSFORMS (MIHT);

HOUGH TRANSFORMS;

COMPUTER VISION; IMAGE PROCESSING; PHOTOGRAMMETRY; REMOTE SENSING; STEREO IMAGE;

EID: 0037314408     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.69.2.189     Document Type: Review

References (31)

1. Ackermann, F., 1984. Digital image correlation: Performance and potential application in photogrammetry, Photogrammetric Record, 11(64):429-439.
2. Ayache, N., and H. Faugeras, 1986. A new approach for the recognition and positioning of two-dimensional objects, IEEE Transactions on Pattern Recognition and Machine Intelligence, 8(1):44-54.
3. Baillard, C., C. Schmid, A. Zisserman, and A. Fitzgibbon, 1999. Automatic line matching and 3D reconstruction of buildings from multiple views, Proceedings ISPRS Conference on Automatic Extraction of GIS Objects from Digital Imagery, 08-10 September, München, Germany, published in International Archives of Photogrammetry and Remote Sensing, 32(Part 3-2W5):69-80.
4. Barnard, S.T., and W.B. Thomson, 1980. Disparity analysis of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(4):333-340.
5. Bhanu, B., and O.D. Faugeras, 1984. Shape Matching of 2-D objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(2):137-155.
6. Boyer, K.L., and A.C. Kak, 1985. Symbolic stereo from structural descriptions, Proceedings Second IEEE Conference on Artificial Intelligence Applications, 11-13 December, Miami Beach, Florida, pp. 82-87.
7. Burns, J.B., R. Hanson, and E.M. Riseman, 1986. Extracting straight lines, IEEE Transactions on Pattern Recognition and Machine Intelligence, 8(4):425-455.
8. Canny, J., 1986. A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6):679-698.
9. Cho, W., 1995. Relational Matching for Automatic Orientation, Ph.D. dissertation, Department of Geodetic Science and Surveying, The Ohio State University, Columbus, Ohio, 157 p.
10. Förstner, W., 1986. A feature based correspondence algorithm for image matching, Proceedings, "From Analytical to Digital," 19-22 August, Rovaniemi, Finland, published in International Archives of Photogrammetry, 26(3):1-16.
11. Förstner, W., and E. Gülch, 1987. A fast operator for detection and precise location of distinct points, corners and centers of circular features, Proceeding of ISPRS Intercommission Workshop on "Fast Processing of Photogrammetric Data," 02-04 June, Interlaken, Switzerland, pp. 281-305.
12. Freeman, H., 1978. Shape description via the use of critical points, Pattern Recognition, 10:159-166.
13. Grimson, W.E.L., 1985. Computational experiments with a feature based stereo algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(1):17-43.
14. Habib, A., D. Kelly, and A. Asmamaw, 2000. New approach for solving matching problems in photogrammetry, International Archive of Photogrammetry and Remote Sensing, 33(Part B2/2):257-264.
15. Habib, A., and D. Kelley, 2001. Automatic relative orientation of large scale imagery over urban areas using Modified Iterated Hough Transform, ISPRS Journal of Photogrammetry and Remote Sensing, 56(1):29-41.
16. Hannah, M.J., 1988. Digital stereo image matching techniques, Proceedings of the XVIth Congress, International Society of Photogrammetry, Commission 3, 01-10 June, Kyoto, Japan, published in International Archive of Photogrammetry, 27(Part B3):280-293.
17. Haralick, R.M., and L.G. Shapiro, 1993. Computer and Robot Vision, Volume 2, Addison-Wesley Publishing Company, Inc., Boston, Massachusetts, 630 p.
18. Hough, P., 1962. Methods and Means for Recognizing Complex Patterns, U.S. Patent 3,069,654.
19. Kim, Z., A. Huertas, and R. Nevatia, 2001. Automatic description of buildings with complex rooftops from multiple images, IEEE Conference on Computer Vision and Pattern Recognition, 09-14 December, Honolulu, Hawaii, 2:272-279.
20. Leavers, V.F., 1993. Which Hough transformation?, CVGIP Image Understanding, 41(2):250-264.
21. Medioni, G., and R. Nevatia, 1984. Matching images using linear features, IEEE Transactions on Pattern Recognition and Machine Intelligence, 6(6):675-685.
22. Mikhail, E.M., A. Abey, and O.R., Mitchell, 1984. Detection and subpixel location of photogrammetric targets in digital images, Photogrammetria, 39:63-83.
23. Moravec, H.P., 1977. Toward automatic visual obstacles avoidance, Proceedings of the 5th Joint Conference on Artificial Intelligence, 22-25 August, Cambridge, United Kingdom, p. 584.
24. Noronha, S., and R. Nevatia, 2001. Detection and modeling of buildings from multiple aerial images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(5):501-518.
25. Paderas, F.C., E.M. Mikhail, and W. Förstner, 1984. Rectification of single and multiple frames of satellite scanner imagery using points and edges as control, NASA Symposium on Mathematical Pattern Recognition and Image Analysis, 06-08 June, Johnson Space Center, Houston, Texas, pp. 309-400.
26. Rosenholm, D., 1987. Least-squares matching method: Some experimental results, Photogrammetric Record, 12(70):439-512.
27. Roux, M., and D. McKeown, 1994. Feature matching for building extraction from multiple views, IEEE Conference on Computer Vision and Pattern Recognition, 21-23 June, Seattle, Washington, pp. 46-53.
28. Schenk, T., 1999. Digital Photogrammetry, TeraScience, Laureville, Ohio, 428 p.
29. Slama, C.C (editor), 1980. Manual of Photogrammetry, Fourth Edition, American Society of Photogrammetry, Falls Church, Virginia, 1056 p.
30. Tseng, Y., and T. Schenk, 1992. A least-squares approach to matching lines with Fourier descriptors, Proceedings of the XVIth Congress, International Society of Photogrammetry and Remote Sensing, Commission 3, 02-14 August, Washington, D.C., published in Archives of the International Society of Photogrammetry and Remote Sensing, 29(Part B3):469-475.
31. Zaharan, M., 1997. Shape-Based Multi-Image Matching Using the Principles of Generalized Hough Transform, Ph.D. dissertation, Department of Geodetic Science and Surveying, The Ohio State University, Columbus, Ohio, 112 p.