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Proceedings Paper

Camera relative orientation in large field of view
Author(s): Jun Wang; Mingli Dong; Wei Li; Peng Sun
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Paper Abstract

A new relative orientation w local parameter optimization method of the essential matrix for the large scale close range photogrammetry is presented in this paper to improve the accuracy and stability of the measurement system. For the matched images, according to the closed-loop polynomial algorithm, the essential matrix is initialized, and an iterative algorithm based on local parameter optimization is proposed. Then the relative exterior orientation parameters are solved from the essential matrix, and only one correct solution is determined by the Cheirality constraints. The orientation experiment of the expandable truss microwave antenna profile measurement is carried out to verify the accuracy and reliability of the new method. Compared with the traditional methods, this new method has minimum projection error and the least iterations, and it will play a key role in the performance improvement of the whole system.

Paper Details

Date Published: 26 January 2016
PDF: 7 pages
Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990330 (26 January 2016); doi: 10.1117/12.2218677
Show Author Affiliations
Jun Wang, Beijing Information Science & Technology Univ (China)
Mingli Dong, Beijing Information Science & Technology Univ. (China)
Wei Li, Beijing Univ. of Posts and Telecommunications (China)
Peng Sun, Beijing Information Science & Technology Univ. (China)
Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9903:
Seventh International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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