Abstract
The camera registration extracted from feature based stereo is usually considered sufficient to accurately localize the 3D points. However, for natural scenes the feature localization is not as precise as in man-made environments. This results in small camera registration errors. We show that even very small registration errors result in large errors in dense surface reconstruction.
We describe a method for registering entire images to the inaccurate surface model. This gives small, but crucially important improvements to the camera parameters. The new registration gives dramatically better dense surface reconstruction.
Chapter PDF
Similar content being viewed by others
References
J. Foley, A. van Dam, S. Finer, and J. Hughes. Computer Graphics, principles and practice. Addison-Wesley, 2nd ed. edition, 1990.
A.L. Yuille, D. Snow, R. Epstein and P.N. Belhumeur Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability. International Journal of Computer Vision, 35(3), 203–222, 1999.
P. Fua and Y.G. Leclerc Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading. International Journal of Computer Vision. September 1995.
P. Fua and Y.G. Leclerc Registration Without Correspondences. International Conference on Computer Vision and Pattern Recognition, Seattle, WA, pp. 121–128, Jun 1994.
V.N. Smelyanskiy, P. Cheeseman, D.A. Maluf and R.D. Morris Bayesian Super-Resolved Surface Reconstruction from Images. Proceedings of International Conference on Computer Vision and Pattern Recognition, June 2000
J. Bernardo and A. Smith. Bayesian Theory. Wiley, Chichester, New York, 1994.
K. Weiler and P. Atherton. Hidden Surface Removal Using Polygon Area Sorting Proceedings of SIGGRAPH, pp 214–222, 1977.
E. Catmull A Hidden-Surface Algorithm, with Anti-Aliasing Proceedings of SIGGRAPH, pp 6–11, 1978.
O. Faugeras. Three-Dimensional Computer Vision. MIT Press, 1993.
Z. Zhang. A Flexible New Technique for Camera Calibration. Technical Report MSR-TR-98-71, Microsoft Research, Redmond, Washington.
C. Harris. A Combined Corner and Edge Detector. Proceedings of the Alvey Vision Conference, pp 189–192, 1987.
Z. Zhang, R. Deriche, O. Faugeras, and Q.T. Luong. A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry. AI Journal, vol. 78, pp 87–119, 1994.
V.N. Smelyanskiy, R.D. Morris, D.A. Maluf and P. Cheeseman, (Almost) Featureless Stereo-Calibration and Dense 3D Reconstruction Using Whole Image Operations. Technical Report TR01-26, 2001, RIACS. http://www.riacs.edu
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Smelyansky, V.N., Morris, R.D., Kuehnel, F.O., Maluf, D.A., Cheeseman, P. (2002). Dramatic Improvements to Feature Based Stereo. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds) Computer Vision — ECCV 2002. ECCV 2002. Lecture Notes in Computer Science, vol 2351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47967-8_17
Download citation
DOI: https://doi.org/10.1007/3-540-47967-8_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43744-4
Online ISBN: 978-3-540-47967-3
eBook Packages: Springer Book Archive