一种基于自适应条纹投影的高光视觉测量方法

A high light vision measurement method based on adaptive fringe projection

  • 摘要: 在条纹投影轮廓术中,高光通常会导致捕获条纹的饱和,并降低测量精度。为了解决这一问题,提出了一种新的自适应条纹投影方法。采用双目提供的立体几何解相法减少条纹的投影数量,提高自适应投影的效率;采用交比不变约束,提高投影仪和相机之间的对应精度。比传统单目FPP重建结果拟合平面的标准偏差减小了0.049 mm,平面度提升了84.5%。前后两平面表面之间距离为8.829 mm,与标准值误差为0.045 mm,提升了42.3%。所提方法实现了局部过曝区域相位信息的完整提取,有效解决了高反光物体三维面形测量的难题。相比传统FPP方法重建结果有明显提升,说明本文改进算法的有效性。

     

    Abstract: In fringe projection profilometry, highlighting usually results in saturation of captured fringes and decreases measurement accuracy. In order to solve this problem, a new adaptive fringe projection method is proposed. The solid geometric phase solution method provided by binocular camera was used to reduce the number of fringe projections and improve the efficiency of adaptive projection. The intersection ratio invariant constraint is adopted to improve the corresponding accuracy between projector and camera. Compared with the traditional monocular FPP reconstruction results, the standard deviation of the fitting plane is reduced by 0.049 mm, and the flatness is increased by 84.5%. The distance between the front and rear surfaces is 8.829 mm, and the error with the standard value is 0.045 mm, which increases by 42.3%. The proposed method realizes the complete extraction of phase information in the local overexposure area, and effectively solves the problem of 3D shape measurement of highly reflective objects. Compared with the traditional FPP method, the reconstruction result is obviously improved, which shows the effectiveness of the improved algorithm in this paper.

     

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