EXTERIOR ORIENTATION USING LINE-BASED ROTATIONAL MOTION ANALYSIS

A. Navarro, E. Villarraga, J. Aranda

Abstract

3D scene information obtained from a sequence of images is very useful in a variety of action-perception applications. Most of them require perceptual orientation of specific objects to interact with their environment. In the case of moving objects, the relation between changes in image features derived by 3D transformations can be used to estimate its orientation with respect to a fixed camera. Our purpose is to describe some properties of movement analysis over projected features of rigid objects represented by lines, and introduce a line-based orientation estimation algorithm through rotational motion analysis. Experimental results showed some advantages of this new algorithm such as simplicity and real-time performance. This algorithm demonstrates that it is possible to estimate the orientation with only two different rotations, having knowledge of the transformations applied to the object.

References

  1. Ansar, A., Daniilidis, K., 2003. Linear pose estimation from points and lines. In IEEE Trans. Pattern Analysis and Machine Intelligence. 25:578-589.
  2. Faugeras, O., Lustran F., Toscani G., 1987. Motion and structure from point and line matches. In Proc. First Int. Conf. Computer Vision.
  3. Fiore, P., 2001. Efficient linear solution of exterior orientation. In IEEE Trans. Pattern Analysis and Machine Intelligence. Vol 23, No 2.
  4. Haralick, R.M., Lee, C., Ottenberg, K., Nölle, M., 1991. Analysis and solutions of the three point perspective pose estimation problem. In IEEE Conf. Computer Vision and Pattern Recognition.
  5. Hartley, R.I., 1998. Minimizing algebraic error in geometric estimation problems. In Proc. Int. Conf. Computer Vision (ICCV), pp. 469-476.
  6. Lowe, D.G., 1987. Three-dimensional object recognition from single two-dimensional images. In Artificial Intelligence, vol. 31, no. 3, pp.
  7. Weng, J., Huang, T.S., Ahuja, N., 1992. Motion and structure from line correspondences; closed-form solution, uniqueness, and optimization. In IEEE Trans. Pattern Analysis and Machine Intelligence. Vol. 14, 3:318-336.
  8. Yen B.L., Huang T.S., 1983. Determining 3-D motion and structure of a rigid body using straight line correspondences. In Image sequence Processing and Dynamic Scene Analysis, Heidelberg, Germany: Springer-Verlag.
Download


Paper Citation


in Harvard Style

Navarro A., Villarraga E. and Aranda J. (2007). EXTERIOR ORIENTATION USING LINE-BASED ROTATIONAL MOTION ANALYSIS . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 290-293. DOI: 10.5220/0002060102900293


in Bibtex Style

@conference{visapp07,
author={A. Navarro and E. Villarraga and J. Aranda},
title={EXTERIOR ORIENTATION USING LINE-BASED ROTATIONAL MOTION ANALYSIS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={290-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002060102900293},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - EXTERIOR ORIENTATION USING LINE-BASED ROTATIONAL MOTION ANALYSIS
SN - 978-972-8865-74-0
AU - Navarro A.
AU - Villarraga E.
AU - Aranda J.
PY - 2007
SP - 290
EP - 293
DO - 10.5220/0002060102900293