13 November 2014 An improved bundle adjustment model and algorithm with novel block matrix partition method
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Abstract
Sparse bundle adjustment is widely applied in computer vision and photogrammetry. However, existing implementation is based on the model of n 3D points projecting onto m different camera imaging planes at m positions, which can't be applied to commonly monocular, binocular or trinocular imaging systems. A novel design and implementation of bundle adjustment algorithm is proposed in this paper, which is based on n 3D points projecting onto the same camera imaging plane at m positions .To improve the performance of the algorithm, a novel sparse block matrix partition method is proposed. Experiments show that the improved bundle adjustment is effective, robust and has a better tolerance to pixel coordinates error.
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Zemin Xia, Zemin Xia, Zhongwei Li, Zhongwei Li, Kai Zhong, Kai Zhong, } "An improved bundle adjustment model and algorithm with novel block matrix partition method", Proc. SPIE 9276, Optical Metrology and Inspection for Industrial Applications III, 92761J (13 November 2014); doi: 10.1117/12.2071083; https://doi.org/10.1117/12.2071083
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