Abstract
For the problem that 3D stereo target is costly and 2D planar target cannot cover entire field of view, it selects multi-sensor camera to capture image in the large field of view to improve defecting narrow data volume of single binocular stereo vision field. In order to improve accuracy of multi-sensor cameras, this paper selects marker feature points in the large field of view environment to draw virtual checkerboard target and multi-sensor camera captures image at a fixed position. Thus, virtual target under each camera orientation is large. A large target is formed in the calibration space of field of view and internal target of multi-sensor camera is calibrated by Zhang. Other virtual targets are separately calibrated to obtain the internal and external parameters of camera, and a certain camera coordinate system is set. For the absolute world coordinate system, the transformation matrix normalized to the absolute world coordinate system is calculated, and external parameters of camera are solved by Rodrigues parameter method. Through experimental verification, calibration accuracy error is around 0.2 pixel points.
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Zhang, Y., Wei, P., Yan, D., Xu, H., Han, Q., Liu, D. (2020). Multi-sensor Calibration Technology for Large Field of View Reconstruction. In: Wang, Y., Fu, M., Xu, L., Zou, J. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-15-4163-6_31
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DOI: https://doi.org/10.1007/978-981-15-4163-6_31
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