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Proceedings Paper

Automated target matching for photogrammetry based on bundle adjustment
Author(s): Jun Wang; Naiguang Lu; Wenyi Deng; Mingli Dong
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Paper Abstract

In digital photogrammetry and computer vision, for high accuracy, several images obtained from the different positions are required. The targets in the images are recognized and matched by the computer automatically. This paper present a new method based on the bundle adjustment for the targets matching. It transforms the problem solving space from the 2D images into the 3D world space. With a few targets matched manually, the projection lights can be reconstructed with the interior and exterior parameters provided by the bundle adjustment. More targets are matched based on the correlations of the reconstructed lights. With the new matched targets, the bundle adjustment runs again and the parameters are revised. Repeat these steps until all targets are matched. Experimental results are shown to testify its feasibility and validity. In the experiments, the matching rate of the new method can reach 100%, while the missing rate is very low.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713049 (31 December 2008); doi: 10.1117/12.819713
Show Author Affiliations
Jun Wang, Beijing Information Science and Technology Univ. (China)
Naiguang Lu, Beijing Information Science and Technology Univ. (China)
Wenyi Deng, Beijing Information Science and Technology Univ. (China)
Mingli Dong, Beijing Information Science and Technology Univ. (China)
Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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