Reconstruction of structured scenes from two uncalibrated images

Pattern Recognition Letters

Volumn 26, Issue 2, 2005, Pages 207-220

  Wang, Guanghui ^a,b,c   Tsui, Hung Tat ^a   Hu, Zhanyi ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b INSTITUTE OF AUTOMATION   (China)

^c AVIATION UNIVERSITY OF AIR FORCE   (China)

Author keywords

3D reconstruction; Absolute conic; Camera calibration; Plane induced homography; Structured scene

Indexed keywords

CALIBRATION; CAMERAS; COMPUTER VISION; HEURISTIC METHODS; HUMAN COMPUTER INTERACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION;

3D RECONSTRUCTION; ABSOLUTE CONIC; CAMERA CALIBRATION; PLANE INDUCED HOMOGRAPHY; STRUCTURED SCENE;

IMAGE RECONSTRUCTION;

EID: 10044275105     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2004.08.024     Document Type: Article

References (27)

1. Baillard, C., Zisserman, A., 1999. Automatic reconstruction of piecewise planar models from multiple views. In: Proc. IEEE Conf. Comput. Vision Pattern Recogn., vol. 2, pp. 2559-2665.
2. Bartoli, A., Sturm, P., 2003. Constrained structure and motion from multiple uncalibrated views of a piecewise planar scene. Int. J. Comput. Vision 52 (1), 45-64.
3. Caprile, B., Torre, V., 1990. Using vanishing points for camera calibration. Int. J. Comput. Vision 4 (2), 127-140.
4. Cipolla, R., Robertson, D.P., Boyer, E.G., 1999. Photobuildcr-3D models of architectural scenes from uncalibrated images. In Proc. IEEE Int. Conf. Multimedia Computing and Systems, vol. I, pp. 25-31.
5. Debevec, P., Taylor, C.J., Malik, J., 1996. Modeling and rendering architecture from photographs: a hybrid geometry-and imaged-based approach. In: Proc. SIGGRAPH'96, pp. 11-21.
6. Deriche, R., Faugeras, O., 1990. Tracking line segments. In: Proc. Eur. Conf. Comput. Vision, pp. 259-268.
7. Dick, A.R., Torr, P., Cipolla, R., 2000. Automatic 3D modelling of architecture. In Proc. Brit. Machine Vision Conf., pp. 372-381.
8. Fischler, M.A., Bolles, R.C., 1981. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Graph. Image Proces. 24 (6), 381-395.
9. Gros, P., 1995. Matching and clustering: Two steps toward automatic object modeling in computer vision, Int. J. Robot. Res. 14 (6), 633-642.
10. Hartley, R., Zisserman, A., 2000. Multiple View Geometry in Computer Vision. Cambridge University Press.
11. Liebowitz, D., Zisserman, A., 1999. Combining scene and autocalibration constraints. In: Proc. Int. Conf. Comput. Vision, pp. 285-292.
12. Luong, Q.-T., Faugeras, O.D., 1993. Determining the fundamental matrix with planes: instability and new algorithms. In: Proc. Int. Conf. Comput. Vision, pp. 489-494.
13. McLean, G., Kotturi, D., 1995. Vanishing point detection by line clustering. IEEE Trans. Pattern Anal. Machine Intell. 7 (11), 1090-1095.
14. Schmid, C., Zisserman, A., 1997. Automatic line matching across views. In: Proc. IEEE Conf. Comput. Vision Pattern Recogn., pp. 666-671.
15. Sturm, P., 1997. Critical motion sequences for monocular self-calibration and uncalibrated Euclidean reconstruction. In: Proc. IEEE Conf. Comput. Vision Pattern Recogn., pp. 1100-1105.
16. Sturm, P., Maybank, S.J., 1999. On plane-based camera calibration: a general algorithm, singularities, applications. In: Proc. IEEE Conf. Comput. Vision Pattern Recogn., vol. I, pp. 432-437.
17. Szeliski, R., Torr, P., 1998. Geometrically constrained structure from motion: points on planes. In: Proc. Eur. Workshop on 3D Structure from Multiple Images of Large-Scale Environments (SMILE), pp. 171-186.
18. van den Heuvel, F.A., 1998. Vanishing point detection for architectural photogrammetry. In: International Archives of Photogrammetry and Remote Sensing. Hakodate, Japan, pp. 652-659.
19. Van Gool, L., Proesmans, M., Zisserman, A., 1998. Planar homologies as a basis for grouping and recognition. Image and Vision Comput. 16 (1), 21-26.
20. Vincent, E., Laganiere, R., 2001. Detecting planar homographies in an image pair. In: Proc. 2nd Int. Sympos. Image Signal Process, and Anal., pp. 182-187.
21. Werner, T., Zisserman, A., 2002a. New techniques for automated architecture reconstruction from photographs. In: Proc. 7th Eur. Conf. Comput. Vision, vol. 2, pp. 541-555.
22. Werner, T., Zisserman, A., 2002b. Model selection for automated architectural reconstruction from multiple views. In: Proc. Brit. Machine Vision Conf.
23. Wilczkowiak, M., Boyer, E., Sturm, P., 2002. 3D modeling using geometric constraints: a parallelepiped based approach. In: Proc. 7th Eur. Conf. Comput. Vision, vol. IV, pp. 221-237.
24. Xu, G., Terai, J., Shum, H.Y., 2000. A linear algorithm for camera self-calibration, motion and structure recovery for multi-planar scenes from two perspective images. In: Proc. IEEE Conf. Comput. Vision Pattern Recogn., vol. 2, pp. 2474-2479.
25. Zhang, W., Kosecka, J., 2003. Extraction, matching and pose recovery based on dominant rectangular structures. In: Proc. First IEEE Int. Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, pp. 83-91.
26. Zhang, Z., Deriche, R., Faugeras, O., Luong, Q.-T., 1995. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artif. Intell. J. 78, 87-119.
27. Zisserman, A., Liebowitz, D., Armstrong, M., 1998. Resolving ambiguities in auto-calibration. Philos. Trans. Royal Soc. London, Ser. A 356 (1740), 1193-1211.