基于希尔伯特变换的三频三步相移结构光三维重建方法
Three-Frequency Three-Step Phase-Shift Structured Light 3D Reconstruction Method Based on Hilbert Transform
摘要: 在光学三维重建技术中,当投影仪以恒定的投影速率工作时,减少投影条纹图案的数量是减少投影时间的有效方法。为了提高物体形貌的三维重建的速度,我们提出了基于希尔伯特变换的三频三步相移结构光三维重建方法。我们对最高频率的条纹投影三个条纹图案,条纹之间的相移设计为3π/2,其余两个频率的条纹分别投影一个条纹图案。利用其余两个频率的投影的条纹和背景光强图像获取余弦分量,希尔伯特变换将余弦分量与冲击响应进行卷积,在频率和幅度保持不变的前提下将相位移动π/2。为了提高该方法的准确性和鲁棒性,我们采用了三频外差法来进行相位展开。实验结果表明:该方法在对高精度标准球重建时精度为0.0399 mm,重建精度较高。投影条纹图片由传统的9幅缩减到了5幅,提高了投影效率。
Abstract: In optical 3D reconstruction techniques, when the projector works at a constant projection rate, reducing the number of projected fringe patterns is an effective way to reduce the projection time. In order to improve the speed of 3D reconstruction of object morphology, we propose a three-frequency, three-step phase-shift structured optical 3D reconstruction method based on Hil-bert transform. We project three fringe patterns for the highest frequency fringe, and the phase shift between the fringes is designed to be 3π/2, and one fringe pattern is projected for each of the remaining two frequencies. The cosine components are obtained using the projected fringes of the remaining two frequencies and the background light intensity image, and the Hilbert transform convolves the cosine components with the shock response to shift the phase by π/2 while keeping the frequency and amplitude constant to improve the accuracy and robustness of the method, we use the three-frequency outlier method to perform the phase expansion. The experimental results show that the method has a high reconstruction accuracy of 0.0399 mm when reconstructing the high-precision standard sphere. The projected fringe images are reduced from the traditional 9 to 5, which improves the projection efficiency.
文章引用:郑晓美, 王勇青, 杜国红, 殷少帅. 基于希尔伯特变换的三频三步相移结构光三维重建方法[J]. 建模与仿真, 2023, 12(5): 4437-4448. https://doi.org/10.12677/MOS.2023.125404

参考文献

[1] 吴周杰, 张启灿. 基于条纹投影的三维形貌与形变测量技术研究进展[J]. 液晶与显示, 2023, 38(6): 730-747.
[2] 闫涛, 钱宇华, 李飞江, 等. 三维时频变换视角的智能微观三维形貌重建方法[J]. 中国科学(信息科学), 2023, 53(2): 282-308.
[3] Chen, J.C., Zhu, F.D., Han, Y.G. and Ren, D.F. (2023) Deep Learning Framework-Based 3D Shape Reconstruction of Tanks from a Single RGB Image. Engineering Applications of Artificial Intelligence, 123, Article ID: 106366. [Google Scholar] [CrossRef
[4] Wen, A.N., Wang, Y., Ye, H.Q., et al. (2023) [Preliminary Study on Three-Dimensional Morphological Reconstruction Method for External Nose Defect Based on Three-Dimensional Face Template]. Chinese Journal of Stomatology, 58, 414-421.
[5] Nolte, D., Xie, S.Q. and Bull, A.M.J. (2023) 3D Shape Reconstruction of the Fe-mur from Planar X-Ray Images Using Statistical Shape and Appearance Models. BioMedical Engineering OnLine, 22, Article No. 30. [Google Scholar] [CrossRef] [PubMed]
[6] 王建华, 杨延西. 基于彩色编码光栅投影的双N步相移轮廓术[J]. 中国光学, 2019, 12(3): 616-627.
[7] Wang, Z.H., Hu, J., Chen, Y.G., et al. (2022) Integration of Ground-Based and Space-Borne Radar Observations for Three-Dimensional Deformations Reconstruction: Application to Luanchuan Mining Area, China. Geomatics, Natural Hazards and Risk, 13, 2819-2839. [Google Scholar] [CrossRef
[8] 王朝旭, 倪武, 伏燕军, 等. 一种快速时间相位展开方法[J]. 江西科学, 2021, 39(2): 191-196.
[9] 何群, 薛林, 张德健, 等. 基于深度学习的结构光包裹相位展开算法[J]. 仪表技术与传感器, 2023(4): 93-96, 101.
[10] Li, M.H. and Cao, Y.P. (2023) A Novel 2 + 1 Three-Dimensional Meas-urement for Temporal Phase Unwrapping. Optics Communications, 541, Article ID: 129556. [Google Scholar] [CrossRef
[11] Zhang, H.C., Cao, Y.P., Li, H.M., et al. (2023) Real-Time Comput-er-Generated Frequency-Carrier Moiré Profilometry with Three-Frequency Heterodyne Temporal Phase Unwrapping. Optics & Laser Technology, 161, Article ID: 109201. [Google Scholar] [CrossRef
[12] 刘飞, 罗惠方, 江翰立, 等. 改进的三频三步相移结构光三维重建方法[J]. 红外与激光工程, 2022, 51(4): 294-302.
[13] Zuo, C., Chen, Q., Gu, G., et al. (2013) High-Speed Three-Dimensional Shape Measurement for Dynamic Scenes Using Bi-Frequency Tripolar Pulse-Width-Modulation Fringe Projection. Optics and Lasers in En-gineering, 51, 953-960. [Google Scholar] [CrossRef
[14] 夏继隆, 范华, 王晓飞, 等. 希尔伯特变换结合格雷码的相位展开方法[J]. 激光杂志, 2023, 49(5): 1-6.
[15] He, X.Y. and Qian, K.M. (2021) A Comparative Study on Temporal Phase Unwrapping Meth-ods in High-Speed Fringe Projection Profilometry. Optics and Lasers in Engineering, 142, Article ID: 106613. [Google Scholar] [CrossRef
[16] Xu, P., Liu, J.T., Zhang, W., et al. (2023) Few-Fringe-Based Phase-Shifting Profilometry Employing Hilbert Transform. Precision Engineering, 83, 1-11. [Google Scholar] [CrossRef
[17] Liu, G., Li, M.Z., Mao, Z. and Yang, Q.S. (2022) Structural Motion Estimation via Hilbert Transform Enhanced Phase-Based Video Processing. Mechanical Systems and Signal Processing, 166, Article ID: 108418. [Google Scholar] [CrossRef
[18] Gengel, E. and Pikovsky, A. (2019) Phase Demodulation with Iterative Hilbert Transform Embeddings. Signal Process, 165, 115-127. [Google Scholar] [CrossRef
[19] Wang, J.H. and Yang, Y.X. (2022) Phase Extraction Accuracy Comparison Based on Multi-Frequency Phase-Shifting Method in Fringe Projection Profilom-etry. Measurement, 199, Article ID: 111525. [Google Scholar] [CrossRef
[20] 侯艳丽, 梁瀚钢, 李付谦, 等. 相位测量轮廓术中时空结合的三频相位展开[J]. 光学学报, 2022, 42(1): 159-167.