Paper
26 January 2016 Camera relative orientation in large field of view
Jun Wang, Mingli Dong, Wei Li, Peng Sun
Author Affiliations +
Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 990330 (2016) https://doi.org/10.1117/12.2218677
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Wang, Mingli Dong, Wei Li, and Peng Sun "Camera relative orientation in large field of view", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990330 (26 January 2016); https://doi.org/10.1117/12.2218677
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KEYWORDS
Cameras

Optimization (mathematics)

Detection and tracking algorithms

Photogrammetry

Matrices

3D image processing

3D acquisition

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