Research on Three-dimensional Reconstruction Method for Waste Parts Based on Binocular Vision
In response to the challenges of significant difficulty in three-dimensional reconstruction,low accuracy of dimen-sion measurement,and heavy reliance on manual labor for waste parts during the remanufacturing process,a passive binocular vi-sion-based method on three-dimensional reconstruction for waste parts was proposed.Initially,photographs of waste parts were captured using a binocular camera,and the Zhang's method was employed to calibrate the camera parameters and rectify the left and right images along epipolar lines.Subsequently,an improved AD-Census algorithm was used to obtain the disparity map,in-corporating enhancements such as Census transformation based on normal distribution and adaptive weighting based on the shortest arm length to improve matching accuracy.Finally,the obtained disparity map was converted into a three-dimensional point cloud using the principle of triangulation,facilitating three-dimensional reconstruction of the parts and further dimension measurement.Experi-mental results demonstrate that the proposed method achieves good results in the three-dimensional reconstruction of waste parts,with an absolute measurement error controlled within 0.1 mm in dimension measurement,meeting the detection accuracy require-ments of waste parts dimension measurement.This method is suitable for surface information analysis of waste parts in practical production.
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