Paper
31 December 2008 Automated target matching for photogrammetry based on bundle adjustment
Jun Wang, Naiguang Lu, Wenyi Deng, Mingli Dong
Author Affiliations +
Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 713049 (2008) https://doi.org/10.1117/12.819713
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Wang, Naiguang Lu, Wenyi Deng, and Mingli Dong "Automated target matching for photogrammetry based on bundle adjustment", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713049 (31 December 2008); https://doi.org/10.1117/12.819713
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KEYWORDS
Photogrammetry

3D acquisition

3D image processing

Cameras

Transform theory

Calibration

Computer vision technology

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