Integrated point and edge matching on poor textural images constrained by self-adaptive triangulations

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 68, Issue 1, 2012, Pages 40-55

  Wu, Bo ^a   Zhang, Yunsheng ^a,b,c   Zhu, Qing ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b WUHAN UNIVERSITY   (China)

^c CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Edge matching; Image matching; Point matching; Self adaptive propagation; Triangle constraint

Indexed keywords

EDGE MATCHING; MATCHED POINTS; MATCHING METHODS; OBJECT MODELING; PHOTOGRAMMETRIC TECHNIQUE; POINT-MATCHING; SEED POINT; SELF-ADAPTIVE; SPACE-BORNE; STEREO-IMAGE; TEXTURAL IMAGES; TRIANGLE CONSTRAINT;

IMAGE MATCHING; IMAGE TEXTURE; INTEGRATION; TRIANGULATION;

THREE DIMENSIONAL;

AIRBORNE SENSING; ALGORITHM; EXPERIMENTAL STUDY; GROUND-BASED MEASUREMENT; IMAGE PROCESSING; INNOVATION; PHOTOGRAMMETRY; STEREO IMAGE; TRIANGULATION;

EID: 84862806781     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2011.12.005     Document Type: Article

References (35)

1. Bay H., Ess A., Tuytelaars T., Van Gool L. Speeded-Up Robust Features (SURF). Computer Vision and Image Understanding 2008, 110(3):346-359.
2. Bobick A.F., Intille S.S. Large occlusion stereo. International Journal of Computer Vision 1998, 33(3):181-200.
3. Fischler M.A., Bolles R.C. Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography. Communications of the ACM 1981, 24(6):381-395.
4. Furukawa Y., Ponce J. Accurate, dense, and robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence 2010, 32(8):1362-1376.
5. Harris, C., Stephens, M., 1988. A combined corner and edge detector. Proceedings of fourth Alvey Vision Conference, Manchester, pp. 147-151.
6. Hartley R., Zisserman A. Multiple View Geometry in Computer Vision 2003, Cambridge University Press, 672 pages. second ed.
7. Hatze H. High-precision three-dimensional photogrammetric calibration and object space reconstruction using a modified DLT approach. Journal of Biomechanics 1988, 21(7):533-538.
8. Heipke C., Oberst J., Albertz J., Attwenger M., Dorninger P., Dorrer E., Ewe M., et al. Evaluating planetary digital terrain models - The HRSC DTM test. Planetary and Space Science 2007, 55(2007):2173-2191.
9. Jiang, W., 2004. Multiple aerial image matching and automatic building detection. Ph.D. Dissertation, Wuhan University, 143 pages.
10. Kanade T., Okutomi M. A stereo matching algorithm with an adaptive window: theory and experiment. IEEE Transactions on Pattern Analysis and Machine Intelligence 1994, 16(9):920-932.
11. Kirk, R.L., E. Howington-Kraus, M.R. Rosiek, D. Cook, J. Anderson, K. Becker, B.A. Archinal, L. Keszthelyi, R. King, A.S. McEwen, and the HiRISE Team, 2007. Ultrahigh Resolution Topographic Mapping of Mars with HiRISE stereo images: methods and first results, Proceedings Lunar Planet Science Conference 38th, abstract 1428.
12. Lhuillier M., Quan L. Match propagation for image-based modeling and rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002, 24(8):1140-1146.
13. Liu Y. A semi-automatic algorithm for line matching based on Delaunay triangulation. Geomatics and Information Science of Wuhan University 2004, 29(4):342-346.
14. Lowe D.G. Object recognition from local scale-invariant features 1999, International Conference on Computer Vision, Corfu, Greece, pp. 1150-1157.
15. Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 2004, 60(2):91-110.
16. Match-T DSM, 2011. (Accessed on January 10, 2011). http://www.inpho.de/index.php?seite=index_match-t.
17. McEwen A.S., Eliason E.M., Bergstrom J.W., Bridges N.T., Hansen C.J., Delamere W.A., Grant J.A., et al. Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (HiRISE). Journal of Geophysical Research-Planets 2007, 112(E05S02). 10.1029/2005JE002605.
18. Meer P., Georgescu B. Edge detection with embedded confidence. IEEE Transactions on Pattern Analysis and Machine Intelligence 2001, 23(12):1351-1365.
19. Mikolajczyk K., Schmid C. Scale & affine invariant interest point detectors. International Journal of Computer Vision 2004, 60(1):63-86.
20. Otto G.P., Chau T.K. A region-growing algorithm for matching of terrain images. Image and Vision Computing 1989, 7(2):83-94.
21. Schmid C., Zisserman A. The geometry and batching of lines and curves over multiple views. International Journal of Computer Vision 2000, 40(3):199-233.
22. Seitz S.M., Curless B., Diebel J., Scharstein D., Szeliski R. A comparison and evaluation of multi-view stereo reconstruction algorithms. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2006, Washington, DC, US, pp. 519-528.
23. Strecha C., Hansen W.V., Gool L.V., Fua P., Thoennessen U. On benchmarking camera calibration and multi-view stereo for high resolution imagery 2008, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, AK, pp. 1-8.
24. Tao H., Sawhney H.S., Kumar R. A global matching framework for stereo computation. International Conference Computer Vision 2001, Vancouver, British Columbia, Canada, pp. 532-539.
25. Tola E., Lepetit V., Fua P. DAISY: an efficient dense descriptor applied to wide-baseline stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence 2010, 32(5):815-830.
26. Wu, B., 2006. A Reliable Stereo Image Matching Method Based on the Self-adaptive Triangle Constraint, Ph.D. Dissertation, Wuhan University, China, pp. 110.
27. Wu B., Zhang Y.S., Zhu Q. A triangulation-based hierarchical image matching method for wide-baseline images. Photogrammetric Engineering & Remote Sensing 2011, 77(7):695-708.
28. Zhang, L., 2005. Automatic digital surface model (DSM) generation from linear array images. Ph.D. Dissertation, Institute of Geodesy and Photogrammetry, Swiss Federal Institute of Technology Zurich, pp. 219.
29. Zhang C., Fraser C.S. An improved approach for DSM generation from high-resolution satellite imagery. Journal of Spatial Science 2009, 54(2):1-13.
30. Zhang L., Gruen A. Multi-image matching for DSM generation from IKONOS imagery. ISPRS Journal of Photogrammetry and Remote Sensing 2006, 60(3):195-211.
31. Zhang, B., Miller, S., Walker, S., Devenecia, K., 2007. Next generation automatic terrain extraction using Microsoft ultracam imagery. ASPRS 2007 Annual Conference, Tampa, Florida, pp. 12 (on CD-ROM).
32. Zhu Q., Zhao J., Lin H., Gong J.Y. Triangulation of well-defined points as a constraint for reliable image matching. Photogrammetric Engineering & Remote Sensing 2005, 71(9):1063-1069.
33. Zhu Q., Wu B., Tian Y. Propagation strategies for stereo image matching based on the dynamic triangle constraint. ISPRS Journal of Photogrammetry and Remote Sensing 2007, 62(4):295-308.
34. Zhu Q., Wu B., Wan N. A filtering strategy for interest point detecting to improve repeatability and information content. Photogrammetric Engineering & Remote Sensing 2007, 73(5):547-553.
35. Zhu Q., Zhang Y., Wu B., Zhang Y. Multiple close-range image matching based on a self-adaptive triangle constraint. Photogrammetric Record 2010, 25(132):437-453.