首页|强反射表面的自适应双目数字条纹投影法

强反射表面的自适应双目数字条纹投影法

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双目数字条纹投影在三维形貌测量中应用广泛,但对于表面反射率变化较大的物体,过度曝光会导致数字条纹信息丢失,从而降低测量精度.基于此,提出一种自适应双目数字条纹投影方法.首先,向物体表面投射不同强度的灰度图,制作掩模图像,生成多组饱和点像素簇,计算饱和点像素簇中的物体表面反射率,并在像素簇中逐像素确定饱和像素点的最佳投影光强值;其次利用相机-投影仪像素点映射关系,将生成的自适应数字条纹序列投影至物体表面;最后利用多频外差法进行解相,通过左右相机相位匹配完成物体三维形貌重建.实验结果表明,相比现有双目方法,所提方法的相位均方根误差和平均相对误差分别减小了99.57%和96.57%,更加准确地实现饱和曝光区域相位的提取和匹配,拟合模型高度相对误差减小了72.12%,提高了对强反射物体表面三维形貌的测量精度.
Adaptive Binocular Digital Fringe Projection Method for High Reflective Surfaces
Binocular digital fringe projection has been widely used in three-dimensional(3D)shape measurement.However,for objects with considerable variations in surface reflectance,the information on digital fringes may be lost due to overexposure,resulting in a decrease in measurement accuracy.Therefore,this paper proposes an adaptive binocular digital fringe projection method to address this issue.First,grayscale images with different intensities are projected onto the object's surface to create a mask image.Furthermore,multiple sets of saturated point pixel clusters are generated,and the surface reflectance of the object within these clusters is calculated.Besides,the optimal projection light intensity value for each pixel in the clusters of saturated pixel points is determined.Second,the generated adaptive digital fringe sequence is projected onto the object's surface using the mapping relationship between the camera and projector pixel points.Finally,the phase is solved using the multifrequency heterodyne method,and the 3D object shape is reconstructed through phase matching performed by the left and right cameras.The experimental results show that the proposed method achieves a reduction of 99.57%and 96.57%in phase root mean square and average relative errors,respectively,compared with the existing binocular methods.Additionally,more accurate phase extraction and matching of the saturated exposure area are realized,and the relative error of height in the fitting model is reduced by 72.12%,thereby enhancing the measurement accuracy of the 3D shape of the strongly reflective object surfaces.

phase measurementadaptive stripebinocular visionhigh reflective surface3D shape reconstruction

雷经发、赵波、赵汝海、李永玲、张淼

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安徽建筑大学机械与电气工程学院,安徽 合肥 230601

安徽省工程机械智能制造重点实验室,安徽 合肥 230601

过程装备与控制工程四川省高校重点实验室,四川 自贡 643000

相位测量 自适应条纹 双目视觉 强反射表面 三维形貌重建

安徽省重点研究与开发计划项目过程装备与控制工程四川省高校重点实验室开放基金项目安徽高校协同创新项目合肥市自然科学基金资助项目安徽高校自然科学研究重大项目

1804a09020009GK202101GXXT2022-0192021019KJ2021ZD0068

2024

10.3788/LOP231704

激光与光电子学进展
中国科学院上海光学精密机械研究所

激光与光电子学进展

CSTPCD北大核心
影响因子：1.153
ISSN：1006-4125
年,卷(期)：2024.61(12)