激光与光电子学进展, 2019, 56 (5): 051202, 网络出版: 2019-07-31   

高反光对象表面的结构光三维成像方法 下载: 1370次

Three-Dimensional Imaging Method of High-Reflective Objects Based on Structured Light
作者单位
1 四川大学电气信息学院, 四川 成都 610065
2 韩国光州科技大学电气工程及计算机科学学院, 韩国 光州 61005
摘要
为了改善高反光对象表面的三维重建的质量,提出了一种基于二值相移编码光栅投影的相位融合算法。该算法对饱和相位误差进行分析,利用二值相移投影图案的周期性与对称性实现了饱和相位误差的检测。研究结果表明,相比于基于光照强度判断的饱和误差检测方法,所提方法可以准确检测出存在饱和误差的区域。与修复前相比,修复后的饱和相位误差的均方根值减少了95.7%,最大相位误差减少了96.1%。与传统的检测方法相比,在使用更少测量组的情况下,替换后的饱和相位误差的均方根值减少了16.7%。所提方法可以有效地重建出高反光物体的表面轮廓,且精度更高,无需非线性校正,抗干扰能力强。
Abstract
In order to improve the accuracy of three-dimensional reconstructed high-reflective surfaces, a phase fusion algorithm is proposed based on binary phase-shifting encoding. The phase error caused by the intensity saturation is analyzed and detected based on the periodicity and symmetry of the binary phase-shifting projection patterns. The research results demonstrate that, compared with the saturation error detection method based on the illumination intensity estimation, the proposed method can more accurately detect the areas with saturation phase errors. Compared with the result before correction, the root mean square error of the corrected phase shows a 95.7% reduction in the saturation phase errors and a 96.1% reduction in the maximum phase error. Compared with the traditional detection methods, the root mean square value of the replaced saturation phase error is reduced by 16.7% when fewer measurement groups are used. The results show that the proposed method can effectively reconstruct the surface profile of high reflective objects. The proposed method doesn’t need nonlinear correction, and is of strong anti-noise ability.

郑宏博, Yo-SungHo, 刘凯. 高反光对象表面的结构光三维成像方法[J]. 激光与光电子学进展, 2019, 56(5): 051202. Hongbo Zheng, Ho Yo-Sung, Kai Liu. Three-Dimensional Imaging Method of High-Reflective Objects Based on Structured Light[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051202.

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