Constrained structure and motion from multiple uncalibrated views of a piecewise planar scene

International Journal of Computer Vision

Volumn 52, Issue 1, 2003, Pages 45-64

  Bartoli, Adrien ^a   Sturm, Peter ^a  

^a INRIA RHÔNE ALPES   (France)

Author keywords

3D reconstruction; Constrained structure and motion; Maximum likelihood estimator; Piecewise planar scene

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; THREE DIMENSIONAL;

CONSTRAINED STRUCTURE AND MOTION; MULTIPLE UNCALIBRATED VIEWS; PIECEWISE PLANAR SCENE; THREE DIMENSIONAL RECONSTRUCTION;

COMPUTER VISION;

EID: 0037376681     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022318524906     Document Type: Article

References (47)

1. Alon, J. and Sclaroff, S. 2000. Recursive estimation of motion and planar structure. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Hilton Head Island, South Carolina, USA, pp. 550-556.
2. Atkinson, K.B. (Ed.). 1996. Close Range Photogrammetry and Machine Vision, Whittles Publishing.
3. Baillard, C. and Zisserman, A. 1999. Automatic reconstruction of piecewise planar models from multiple views. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, USA, IEEE Computer Society Press: Los Alamitos, CA, pp. 559-565.
4. Bartoli, A. and Sturm, P. 2001. Constrained structure and motion from N views of a piecewise planar scene. In Proceedings of the First International Symposium on Virtual and Augmented Architecture (VAA'01), Dublin, Ireland, pp. 195-206.
5. Bartoli, A., Sturm, P., and Horaud, R. 2001. Projective structure and motion from two views of a piecewise planar scene. In Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada, Vol. 1, pp. 593-598.
6. Beardsley, P., Torr, P., and Zisserman, A. 1996. 3D model acquisition from extended image sequences. In Proceedings of the 4th European Conference on Computer Vision, Cambridge, England, B. Buxton and R. Cipolla (Eds.), Vol. 1065 of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp. 683-695.
7. Berthilsson, R. and Heyden, A. 1998. Recognition of planar point configurations using the density of affine shape. In Proceedings of the 6th International Conference on Computer Vision, Bombay, India, pp. 72-88.
8. Cross, G. and Zisserman, A. 2000. Surface reconstruction from multiple views using apparent contours and surface texture. In NATO Advanced Research Workshop on Confluence of Computer Vision and Computer Graphics, Ljubljana, Slovenia, A. Leonardis, F. Solina, and R. Bajcsy (Eds.), pp. 25-47.
9. Debevec, P.E., Taylor, C.J., and Malik, J. 1996. Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach. In SIGGRAPH'96, New Orleans.
10. Dick, A.R., Torr, P.H.S., Ruffle, S.F., and Cipolla, R. 2001. Combining single view recognition and multiple view stereo for architectural scenes. In Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada.
11. Faugeras, O. and Lustman, F. 1988. Motion and structure from motion in a piecewise planar environment. International Journal of Pattern Recognition and Artificial Intelligence, 2(3):485-508.
12. Fornland, P. and Schnörr, C. 1997. A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Puerto Rico, USA, IEEE (Ed.), pp. 508-513.
13. Gill, P.E., Murray, W., and Wright, M.H. 1981. Practical Optimization. Academic Press: New York.
14. Gortler, S.J., Grzeszczuk, R., Szeliski, R., and Cohen, M. 1996. The lumigraph. In Proceedings of SIGGRAPH, New Orleans, LA, pp. 43-54.
15. Hartley, R. 1995. In defence of the 8-point algorithm. In Proceedings of the 5th International Conference on Computer Vision, Cambridge, MA, USA, pp. 1064-1070.
16. Hartley, R. and Sturm, P. 1997. Triangulation. Computer Vision and Image Understanding, 68(2):146-157.
17. Heyden, A. and Åström, K. 1995. A canonical framework for sequences of images. In Workshop on Representation of Visual Scenes, Cambridge, MA, USA, pp. 45-52.
18. Heyden, A. and Åström, K. 1998. Minimal conditions on intrinsic parameters for euclidean reconstruction. In Proceedings of the Third Asian Conference on Computer Vision, Hong Kong, Vol. II, pp. 169-176.
19. Horn, B.K.P., Hilden, H.M., and Negahdaripour, S. 1988. Closed-form solution of absolute orientation using orthonormal matrices. Journal of the Optical Society of America A, 5(7):1127-1135.
20. Kahl, F., Triggs, B., and Åström, K. 2000. Critical motions for auto-calibration when some intrinsic parameters can vary. Journal of Mathematical Imaging and Vision, 13(2):131-146.
21. Kutulakos, K.N. and Seitz, S.M. 1999. A theory of shape by space carving. In Proceedings of the 7th International Conference on Computer Vision, Kerkyra, Greece, Vol. 1, pp. 307-314.
22. Lang, F. and Förstner, W. 1996. 3D-city modeling with a digital one-eye stereo system. In Proceedings of the XVIII ISPRS-Congress, Vienna, Austria.
23. Levoy, M. and Hanrahan, P. 1996. Light field rendering. In Proceedings of SIGGRAPH, New Orleans, LA, pp. 31-42.
24. Malis, E. and Cipolla, R. 2000. Multi-view constraints between collineations: Application to self-calibration from unknown planar structures. In Proceedings of the 6th European Conference on Computer Vision, Dublin, Ireland, D. Vernon (Ed.), Vol. 1843 of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp. 610-624.
25. Maybank, S.J. and Faugeras, O.D. 1992. A theory of self calibration of a moving camera. International Journal of Computer Vision, 8(2):123-151.
26. McGlone, C. 1996. Bundle adjustment with geometric constraints for hypothesis evaluation. In Proceedings of the XVIII ISPRS-Congress, Vienna, Austria, pp. 529-534.
27. Niem, W. 1994. Robust and fast modelling of 3D natural objects from multiple views. In Proceedings of the SPIE Conference on Image and Video Processing II, San Jose, USA, Vol. 2182, pp. 388-397.
28. Pollefeys, M. 1999. Self-calibration and metric 3D reconstruction from uncalibrated image sequences. Ph.D. Thesis, Katholieke Universiteit Leuven, Belgium, Faculteit Toegepaste Wetenschappen, Arenbergkasteel, B-3001 Heverlee, Belgium.
29. Pollefeys, M., Koch, R., and Van Gool, L. 1998. Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In Proceedings of the 6th International Conference on Computer Vision, Bombay, India, pp. 90-95.
30. Pollefeys, M., Vergauwen, M., and Van Gool, L. 2000. Automatic 3D modeling from image sequences. In Proceedings of the XIX ISPRS-Congress, Amsterdam, the Netherlands, Vol. B5, pp. 619-626.
31. Seitz, S.M. and Dyer, C.R. 1997. Photorealistic scene reconstruction by voxel coloring. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Puerto Rico, USA, IEEE Computer Society Press: Los Alamitos, CA, pp. 1067-1073.
32. Sinclair, D. and Blake, A. 1996. Quantitative planar region detection. International Journal of Computer Vision, 18(1):77-91.
33. Slama, C.C. (Ed.). 1980. Manual of Photogrammetry, Fourth edn. American Society of Photogrammetry and Remote Sensing: Falls Church, Virginia, USA.
34. Streilein, A. and Hirschberg, U. 1995. Integration of digital photogrammetry and CAAD: Constraint-based modeling and semi-automatic measurement. In Proceedings of the International CAAD Futures Conference, Singapore.
35. Sturm, P. 1999. Critical motion sequences for the self-calibration of cameras and stereo systems with variable focal length. In Proceedings of the Tenth British Machine Vision Conference, Nottingham, England, T. Pridmore and D. Elliman (Eds.), British Machine Vision Association, pp. 63-72.
36. Sturm, P. 2000. A case against Kruppas equations for camera self-calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10):1199-1204.
37. Sturm, P. and Triggs, B. 1996. A factorization based algorithm for multi-image projective structure and motion. In Proceedings of the 4th European Conference on Computer Vision, Cambridge, England, B. Buxton and R. Cipolla (Eds.), Vol. 1065 of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp. 709-720.
38. Szeliski, R. 1993. Rapid octree construction from image sequences. Computer Vision, Graphics and Image Processing, 58(1):23-32.
39. Szeliski, R. and Torr, P.H.S. 1998. Geometrically constrained structure from motion: Points on planes. In 3D Structure from Multiple Images of Large-Scale Environments (SMILE'98). Springer Verlag: Berlin.
40. Tarel, J.-P. and Vézien, J.-M. 1995. A generic approach for planar patches stereo reconstruction. In Proceedings of the Scandinavian Conference on Image Analysis, Uppsala, Sweden, pp. 1061-1070.
41. Triggs, B. 1997. Autocalibration and the absolute quadric. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Puerto Rico, USA, IEEE Computer Society Press: Los Alamitos, CA, pp. 609-614.
42. Triggs, B. 1998a. Autocalibration from planar scenes. In Proceedings of the 5th European Conference on Computer Vision, Freiburg, Germany.
43. Triggs, B. 1998b. Optimal estimation of matching constraints. In 3D Structure from Multiple Images of Large-Scale Environments (SMILE'98), Springer Verlag: Berlin.
44. Triggs, B., McLauchlan, P.F., Hartley, R.I., and Fitzgibbon, A. 2000. Bundle adjustment-A modern synthesis. In Proceedings of the International Workshop on Vision Algorithms: Theory and Practice, Corfu, Greece, B. Triggs, A. Zisserman, and R. Szeliski (Eds.) , Vol. 1883 of Lecture Notes in Computer Science. Springer-Verlag: Berlin, pp. 298-372.
45. Viéville, T., Zeller, C., and Robert, L. 1995. Using collineations to compute motion and structure in an uncalibrated image sequence. International Journal of Computer Vision, 20(3):213-242.
46. Xu, G., Terai, J.-I., and Shum, H.-Y. 2000. A linear algorithm for camera self-calibration, motion and structure recovery for multiplanar scenes from two perspective images. In Proceedings of the Conference on Computer Vision and Pattern Recognition, Hilton Head Island, South Carolina, USA.
47. Zhang, Z. 1998. Determining the epipolar geometry and its uncertainty: A review. International Journal of Computer Vision, 27(2):161-195.