TOWARDS EUCLIDEAN RECONSTRUCTION FROM VIDEO SEQUENCES

Dimitri Bulatov

Abstract

This paper presents two algorithms needed to perform a dense 3D-reconstruction from video streams recorded with uncalibrated cameras. Our algorithm for camera self-calibration makes extensive use of the constant focal length. Furthermore, a fast dense reconstruction can be performed by fusion of tessellations obtained from different sub-sequences (LIFT). Moreover, we will present our system for performing the reconstruction in a projective coordinate system. Since critical motions are common in the majority of practical situations, care has been taken to recognize and deal with them.

References

  1. Bougnoux S., From Projective to Euclidean space under any practical situation, a criticism of self-calibration. In Proceedings of the International Conference on Computer Vision (ICCV), Bombay, India, pp. 790-796, January 1998
  2. Harris C. G., Stevens M. J., A Combined Corner and Edge Detector. In Proceedings of 4th Alvey Vision Conference, pp. 147-151, 1998
  3. Hartley R., Zisserman A., Multiple View Geometry in Computer Vision. Cambridge University Press, 2000
  4. Lucas B., Kanade T., An Iterative Image Registration Technique with an Application to Stereo Vision. In Proceedings of 7th International Joint Conference on Artificial Intelligence (IJCAI), pp. 674-679, 1981
  5. Martinec D., Pajdla T., 3D reconstruction by gluing pairwise Euclidean reconstructions, or 'how to achieve a good reconstruction from bad images'. In Proceedings of the 3D Data Processing, Visualization and Transmission conference (3DPVT) , University of North Carolina, Chapel Hill, USA, June 2006.
  6. Matas J., Chum O., Randomized Ransac with Td,d -test. Image and Vision Computing, 22(10) pp. 837-842, September 2004.
  7. Matas J., Chum O., Werner T., Two-view geometry estimation unaffected by a dominant plane. In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), Vol. 1, pp. 772-780, Los Alamitos, California, USA, June 2005
  8. Morris D. Kanade T., Image-Consistent Surface Triangulation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR00), volume 1, pages 332-338, Los Alamitos, 2000. IEEE
  9. Nistér D., Automatic dense reconstruction from uncalibrated video sequences. PhD Thesis, Royal Institute of Technology KTH, Stockholm, Sweden, March 2001
  10. Nistér D., Reconstruction from uncalibrated sequences with a hierarchy of trifocal tensors. In Proceedings of the European Conference on Computer Vision, ECCV, Vol. 1, pp. 649-663, 2000
  11. Nistér D., Untwisting a projective reconstruction. International Journal of Computer Vision, 60(2) pp. 165-183
  12. Pollefeys M., Obtaining 3D Models with a Hand-Held Camera/3D Modeling from Images. Tutorial notes, presented at Siggraph 2002/2001/2000, 3DIM 2001/2003, ECCV 2000, http://www.cs.unc.edu/ marc/tutorial/
  13. Pollefeys M., Verbiest F., Van Gool L., Surviving dominant planes in uncalibrated structure and motion recovery. Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Lecture Notes in Computer Science, Vol. 2351, pp. 837-851, 2003
Download


Paper Citation


in Harvard Style

Bulatov D. (2008). TOWARDS EUCLIDEAN RECONSTRUCTION FROM VIDEO SEQUENCES . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 476-483. DOI: 10.5220/0001072304760483


in Bibtex Style

@conference{visapp08,
author={Dimitri Bulatov},
title={TOWARDS EUCLIDEAN RECONSTRUCTION FROM VIDEO SEQUENCES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={476-483},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001072304760483},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - TOWARDS EUCLIDEAN RECONSTRUCTION FROM VIDEO SEQUENCES
SN - 978-989-8111-21-0
AU - Bulatov D.
PY - 2008
SP - 476
EP - 483
DO - 10.5220/0001072304760483