Structured light field 3-D imaging method based on Hough transform

ZHANG Zhijun; WU Qingyang; DENG Yifeng; JIANG Yifan; ZHENG Guoliang; ZHAI Jianpang

doi:10.7510/jgjs.issn.1001-3806.2023.04.008

LASER TECHNOLOGY > 2023 > 47(4): 492-499. > DOI: 10.7510/jgjs.issn.1001-3806.2023.04.008

ZHANG Zhijun, WU Qingyang, DENG Yifeng, JIANG Yifan, ZHENG Guoliang, ZHAI Jianpang. Structured light field 3-D imaging method based on Hough transform[J]. LASER TECHNOLOGY, 2023, 47(4): 492-499. DOI: 10.7510/jgjs.issn.1001-3806.2023.04.008

Citation:

PDF (8509 KB)

Structured light field 3-D imaging method based on Hough transform

1.
College of Big Data and Internet, Shenzhen Technology University, Shenzhen 518118, China
2.
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
3.
College of New Materials and New Energies, Shenzhen Technology University, Shenzhen 518118, China

More Information

Received Date: May 11, 2022
Revised Date: July 07, 2022
Published Date: July 24, 2023

Graphical Abstract

Abstract

Abstract

In order to accurately recover the complete shape of the measured object with partial occlusion, a system for light field 3-D imaging based on multi-line structured light marking was proposed and a structured light field 3-D imaging method based on the Hough transform was proposed for the image processing problem in this system. The extracted sub-pixel fringe center coordinates were used to Hough transform, then the voting distribution in the Hough parameter space was analyzed, and adaptive range voting and adaptive window strategies were designed. Consequently, the parameters of multiple straight lines in the epipolar plane image can be accurately determined by the proposed method, which does not need to encode the fringe level. The experimental results show that the mean deviation and standard deviation of the fitted plane are 0.0096 mm and 0.0074 mm respectively. The complete shape of measured object is accurately obtained, which utilities the occlusion of different sub-aperture images is inconsistent in light field imaging. The result is helpful for solving the occlusion problem in the 3-D measurement process, and this work provides a reference for the measurement method to obtain complete and efficient 3-D data.
- measurement and metrology,
- structured light field,
- Hough transform,
- structured light,
- light field imaging

FullText(HTML)

References (20)

References

[1]	ZHANG S. High-speed 3D shape measurement with structured light methods: A review[J]. Optics and Lasers in Engineering, 2018, 106: 119-131. https://www.sciencedirect.com/science/article/pii/S0143816617313246
[2]	JAVIDI B, CARNICER A, ARAI J, et al. Roadmap on 3D integral imaging: Sensing, processing, and display[J]. Optics Express, 2020, 28(22): 32266-32293. DOI: 10.1364/OE.402193
[3]	MARRUGO A G, GAO F, ZHANG S. State-of-the-art active optical techniques for three-dimensional surface metrology: A review[J]. Journal of the Optical Society of America, 2020, 37(9): B60-B77. DOI: 10.1364/JOSAA.398644
[4]	LIU F, HOU G Q, SUN Zh N, et al. High quality depth map estimation of object surface from light-field images[J]. Neurocomputing, 2017, 252: 3-16. DOI: 10.1016/j.neucom.2016.09.136
[5]	TAO M W, SRINIVASAN P P, HADAP S, et al. Shape estimation from shading, defocus, and correspondence using light-field angular coherence[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 39(3): 546-560.
[6]	NG R. Digital light field photography[D]. San Francisco, USA: Stanford University, 2006: 19-36.
[7]	ZHOU W H, ZHOU E, LIU G M, et al. Unsupervised monocular depth estimation from light field image[J]. IEEE Transactions on I-mage Processing, 2019, 29: 1606-1617.
[8]	CAI Z W, LIU X L, PENG X, et al. Structured light field 3D imaging[J]. Optics Express, 2016, 24(18): 20324-20334. DOI: 10.1364/OE.24.020324
[9]	CAI Z W, LIU X L, PENG X, et al. Ray calibration and phase mapping for structured-light-field 3D reconstruction[J]. Optics Express, 2018, 26(6): 7598-7613. DOI: 10.1364/OE.26.007598
[10]	刘顺涛, 骆华芬, 陈雪梅, 等. 结构光测量系统的标定方法综述[J]. 激光技术, 2015, 39(2): 252-258. DOI: 10.7510/jgjs.issn.1001-3806.2015.02.023 LIU Sh T, LUO H F, CHEN X M, et al. Review of calibration method for structured light measurement[J]. Laser Technology, 2015, 39(2): 252-258(in Chinese). DOI: 10.7510/jgjs.issn.1001-3806.2015.02.023
[11]	吴庆阳, 黄浩涛, 陈顺治, 等. 基于结构光标记的光场三维成像技术研究[J]. 红外与激光工程, 2020, 49(3): 255-260. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202003020.htm WU Q Y, HUANG H T, CHEN Sh Zh, et al. Research on 3D imaging technology of light field based on structural light marker[J]. Infrared and Laser Engineering, 2020, 49(3): 255-260(in Chin-ese). https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202003020.htm
[12]	LEVOY M, HANRAHAN P. Light field rendering[C]//Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques. New York, USA: Association for Computing Machinery, 1996: 31-42.
[13]	BOLLES R C, BAKER H H, MARIMONT D H. Epipolar-plane image analysis: An approach to determining structure from motion[J]. International Journal of Computer Vision, 1987, 1(1): 7-55. DOI: 10.1007/BF00128525
[14]	LU X T, WU Q Y, HUANG H T. Calibration based on ray-tracing for multi-line structured light projection system[J]. Optics Express, 2019, 27(24): 35884-35894. DOI: 10.1364/OE.27.035884
[15]	DUDA R O, HART P E. Use of the Hough transformation to detect lines and curves in pictures[J]. Communications of the ACM, 1972, 15(1): 11-15. DOI: 10.1145/361237.361242
[16]	黄凌锋, 刘光东, 张超, 等. 基于灰度权重模型的激光条纹中心提取算法[J]. 激光技术, 2020, 44(2): 190-195. DOI: 10.7510/jgjs.issn.1001-3806.2020.02.009 HUANG L F, LIU G D, ZHANG Ch, et al. Laser stripe center extraction algorithm based on gray weight model[J]. Laser Technology, 2020, 44(2): 190-195(in Chinese). DOI: 10.7510/jgjs.issn.1001-3806.2020.02.009
[17]	吴庆阳, 苏显渝, 李景镇, 等. 一种新的线结构光光带中心提取算法[J]. 四川大学学报(工程科学版), 2007, 39(4): 151-155. https://www.cnki.com.cn/Article/CJFDTOTAL-SCLH200704029.htm WU Q Y, SU X Y, LI J Zh, et al. A new method for extracting the centre-line of line structure light-stripe[J]. Journal of Sichuan University(Engineering Science Edition), 2007, 39(4): 151-155. https://www.cnki.com.cn/Article/CJFDTOTAL-SCLH200704029.htm
[18]	NIBLACK W, PETKOVIC D. On improving the accuracy of the Hough transform[J]. Machine Vision and Applications, 1990, 3(2): 87-106. DOI: 10.1007/BF01212193
[19]	XU Z Zh, SHIN B S, KLETTE R. A statistical method for line segment detection[J]. Computer Vision and Image Understanding, 2015, 138: 61-73. https://www.sciencedirect.com/science/article/pii/S1077314215001174
[20]	FURUKAWA Y, SHINAGAWA Y. Accurate and robust line segment extraction by analyzing distribution around peaks in Hough space[J]. Computer Vision and Image Understanding, 2003, 92(1): 1-25.

Cited By

Cited by

Periodical cited type(2)

1.	李静，王雅清，陆亚婷，周杰，倪晓昌. 皮秒激光在微结构制备中的应用. 轻工科技. 2024(02): 91-93 .
2.	乔健，吴振铎，彭信翰，冉雨宣，杨景卫. Micro-LED芯片激光去除机理及工艺参数优化. 光学精密工程. 2024(09): 1360-1370 .

Other cited types(1)

Get Citation

PDF

XML

Article views (7) PDF downloads (7) Cited by(3)

Turn off MathJax

Article Contents

Abstract

References

Structured light field 3-D imaging method based on Hough transform

Abstract

References

Cited by

Periodical cited type(2)

Other cited types(1)

Catalog

Links：

Structured light field 3-D imaging method based on Hough transform

Abstract

References

Cited by

Periodical cited type(2)

Other cited types(1)

Catalog

Links：

Export File

Citation

Format

Content