Absolute orientation from uncertain point data: A unified approach

Y. Hel-Or; M. Werman

doi:10.1109/CVPR.1992.223224

Absolute orientation from uncertain point data: A unified approach

Y. Hel-Or, M. Werman

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

A general and flexible method for fusing and integrating different 2D and 3D measurements for pose estimation is proposed. The 2D measured data are viewed as 3D data with infinite uncertainty in a particular direction. This representation unifies the two categories of the absolute orientation problem into a single problem that varies only in the uncertainty values associated with the measurements. With this paradigm a uniform mathematical formulation of the problem is obtained, and different kinds of measurements that can be fused to obtain a better solution. The method, which is implemented using Kalman filtering, is robust and easily parallelizable.

Original language	English
Title of host publication	Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publisher	IEEE Computer Society
Pages	77-82
Number of pages	6
ISBN (Electronic)	0818628553
DOIs	https://doi.org/10.1109/CVPR.1992.223224
State	Published - 1992
Event	1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States Duration: 15 Jun 1992 → 18 Jun 1992

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	1992-June
ISSN (Print)	1063-6919

Conference

Conference	1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
Country/Territory	United States
City	Champaign
Period	15/06/92 → 18/06/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

Access to Document

10.1109/CVPR.1992.223224

Cite this

Hel-Or, Y., & Werman, M. (1992). Absolute orientation from uncertain point data: A unified approach. In Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 77-82). Article 223224 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June). IEEE Computer Society. https://doi.org/10.1109/CVPR.1992.223224

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Hel-Or, Y & Werman, M 1992, Absolute orientation from uncertain point data: A unified approach. in Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition., 223224, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1992-June, IEEE Computer Society, pp. 77-82, 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992, Champaign, United States, 15/06/92. https://doi.org/10.1109/CVPR.1992.223224

Absolute orientation from uncertain point data: A unified approach. / Hel-Or, Y.; Werman, M.
Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 1992. p. 77-82 223224 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Absolute orientation from uncertain point data: A unified approach

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