Fast 3D reconstruction of tool wear from 2D images has great importance to 3D measuring and objective evaluating tool wear condition, determining accurate tool change and insuring machined part's quality. Extracting 3D information of tool wear zone based on monocular multi-color structured light can realize fast recovery of surface topography of tool wear, which overcomes the problems of traditional methods such as solution diversity and slow convergence when using SFS method and stereo match when using 3D reconstruction from multiple images. In this paper, a kind of new multi-color structured light illuminator was put forward. An information mapping model was established among illuminator's structure parameters, surface morphology and color images. The mathematical model to reconstruct 3D morphology based on monocular multi-color structured light was presented. Experimental results show that this method is effective and efficient to reconstruct the surface morphology of tool wear zone.
A calibration method of movable monocular stereo vision measurement system for on-machine measurement was
presented based on standard dimension. The physical model and mathematical model was established in view of
perspective projection transformation. Structure parameters of this stereo vision system were determined using
Levenberg-Marquardt algorithm. Experiment results show that this calibration method can achieve precise camera
parameters and three dimensional space coordinates and can be employed conveniently in real industrial environment.
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