Three-dimensional reconstruction of a cylinder surface based on constrained bundle adjustment

Tao Ma; Zhenguo Sun; Wenzeng Zhang; Qiang Chen

doi:10.1117/1.OE.54.6.063101

8 June 2015 Three-dimensional reconstruction of a cylinder surface based on constrained bundle adjustment

Tao Ma, Zhenguo Sun, Wenzeng Zhang, Qiang Chen

Author Affiliations +

Funded by: Natural Science Foundation of China

Optical Engineering, Vol. 54, Issue 6, 063101 (June 2015). https://doi.org/10.1117/1.OE.54.6.063101

Abstract

Bundle adjustment (BA) refines the estimation of three-dimensional (3-D) structures and viewing parameters in multiview 3-D reconstruction. It is crucial to the accuracy of the reconstruction. Generic bundle adjustment (GBA) fails to make full use of a priori knowledge of the structure of the objects. We propose a new constrained BA algorithm for 3-D reconstruction of a cylinder surface. In this algorithm, 3-D point positions are parameterized as a combination of the parameters of the cylinder and their two-dimensional locations on the cylinder surface. A random-sample-consensus-based fitting step is used to initialize the parameters of the cylinder surface from more than nine points. Parameters of cameras, the cylinder, and 3-D point locations are then refined by solving the problem of minimizing the reprojection error. Experiments based on synthesized data and real images are performed. Experiment results with synthesized data show that the proposed algorithm achieved a 50% lower reconstruction error than the GBA. Experiment results with real images show that the proposed algorithm is more accurate than the GBA approach when the number of matched point pairs is limited.

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Tao Ma, Zhenguo Sun, Wenzeng Zhang, and Qiang Chen "Three-dimensional reconstruction of a cylinder surface based on constrained bundle adjustment," Optical Engineering 54(6), 063101 (8 June 2015). https://doi.org/10.1117/1.OE.54.6.063101

Published: 8 June 2015

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