Abstract
Though the structured light measurement system has been successfully applied to the profi le measurement of diffuse ob- jects, it is still a challenge to measure shiny objects due to the mix of both specular and diffuse reflections. To this end, we propose a robust encoding and decoding method in this paper. First, the monochromatic stripe patterns are utilized to eliminate the effect of texture and color of objects. Second, an intensity mask, dynam- ically adjusting the intensity of a projected pattern, is applied to avoid overexposure without any pre-knowledge of the workpiece. Thus, it is more flexible and efficient, compared with the existing methods. Third, to solve the internal reflection of the shiny part, an extrapolation model, combined with the intensity mask, is de- veloped to detect the stripe edge for pattern decoding, resulting in accurate and robust3Dreconstruction. Comparedwith traditional polarization based methods, it does not need to readjust for a new part. The experimental results show that the proposed method is capable of measuring various parts without surface pretreatment. Note to Practitioners—In the manufacturing industry, there is a demand to measure workpiece for quality control. A Coordi- nate Measurement Machine (CMM) is usually used. However, its pointwise measurement makes the inspection time consuming and cannotdo100%inspectionforalltheparts.Vision-based3Drecon- struction method could measure the parts quickly. But the method isweakagainstopticallychallengingobjects.Tothisend,thispaper proposed a robust surface coding method to measure the optically challenging object via a vision-based method.
Published Version
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