A New 2-Point Absolute Pose Estimation Algorithm under Plannar Motion
Sung-In Choi, Soon-Yong Park
2015
Abstract
Several motion estimation algorithms, such as n-point and perspective n-point (PnP) have been introduced over the last few decades to solve relative and absolute pose estimation problems. Since the n-point algorithms cannot decide the real scale of robot motion, the PnP algorithms are often addressed to find the absolute scale of motion. This paper introduces a new PnP algorithm which uses only two 3D-2D correspondences by considering only planar motion. Experiment results prove that the proposed algorithm solves the absolute motion in real scale with high accuracy and less computational time compared to previous algorithms.
References
- Hartley, R. and Zisserman, A., 2003. Multiple view geometry in computer vision, Cambridge University Press, 2nd edition.
- Stewenius, H., Nister, D., Kahl, F. and Schaffalitzky, F., 2008. A minimal solution for relative pose with unknown focal length. Image and Vision Computing, 26(7):871-877.
- Nister, D., 2004. An efficient solution to the five-point relative pose problem. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(6):756-770.
- Fischler, M. A. and Bolles, R. C., 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-395.
- Li, B., Heng, L., Lee, G. H. and Pollefeys, M., 2013. A 4- point algorithm for relative pose estimation of a calibrated camera with a known relative rotation angle. In Proc. Of the IEEE Int'l Conf. on Intelligent Robots and Systems, 1595-1601.
- Fraundorfer, F., Tanskanen, P. and Pollefeys, M., 2010. A minimal case solution to the calibrated relative pose problem for the case of two known orientation angles. In: ECCV, 269-282.
- Scaramuzza, D., 2011. 1-point-ransac structure from motion for vehicle-mounted cameras by exploiting nonholonomic constraints. International Journal of Computer Vision, 95(1):74-85.
- Ortin, D. and Montiel, J., 2001. Indoor robot motion based on monocular images. Robotica, 19(03):331-342.
- Lepetit, V., Moreno. N. F. and Fua, P., 2009. Epnp: An accurate o(n) solution to the pnp problem. International Journal of Computer Vision, 81(2):155-166.
- Gao, X. S., Hou, X. R., Tang, J. and Cheng, H. F., 2003. Complete solution classification for the perspectivethree-point problem. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(8):930-943.
- Levenberg, K., 1944. A method for the solution of certain non-linear problems in least squares. Quarterly Journal of Applied Mathmatics, 2(2):164-168.
- Lowe, D. G., 2004. Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision, 60(2):91-110.
- Muja, M. and Lowe, D. G., 2009. Fast approximate nearest neighbors with automatic algorithm configuration. In: VISAPP, 331-340.
Paper Citation
in Harvard Style
Choi S. and Park S. (2015). A New 2-Point Absolute Pose Estimation Algorithm under Plannar Motion . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 643-647. DOI: 10.5220/0005360406430647
in Bibtex Style
@conference{visapp15,
author={Sung-In Choi and Soon-Yong Park},
title={A New 2-Point Absolute Pose Estimation Algorithm under Plannar Motion},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={643-647},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005360406430647},
isbn={978-989-758-091-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - A New 2-Point Absolute Pose Estimation Algorithm under Plannar Motion
SN - 978-989-758-091-8
AU - Choi S.
AU - Park S.
PY - 2015
SP - 643
EP - 647
DO - 10.5220/0005360406430647