Research and precision analysis on binocular 3D imaging algorithm with long and short focal length
Aiming at the problem that the improvement of 3D position precision in the process of complex 3D assembly will lead to the narrowing of visual field and results in failure of 3D assembly positioning,a long and short focal length binocular 3D imaging algorithm based on adaptive scaling factor estimation is proposed.Contrast experiment of precision of long and short focal length imaging and same focal imaging and field of view(FOV)size is carried out.The algorithm firstly estimates the feature scale factor and realizes the normalization of the feature scale according to the feature matching results of the two images obtained by the long and short focal camera.Then the binocular parallax is obtained by the semi-global stereo matching algorithm.Finally,the 3D point cloud of the target is calculated.Contrast experiment of precision of long and short focal length imaging and same focal imaging and FOV size is carried out.The experimental results show that the minimum error estimation ratio of parallax calculation between the algorithm and the binocular system with the same focal length in the region of interest is less than 2.6％,the system observation field is enlarged by 32％.
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