ABSTRACT
Structured light 3D reconstruction is widely applied in various fields. During the calibration process of structured light 3D reconstruction, it is very important to raise the calibration accuracy on the parameters of the structured light system. In this paper, we propose a method based on re-projection error self-correction to obtain more accurate corner positions by screening the re-projection error values of DMD images. Experimental results show that this method can improve the calibration accuracy by 64.17%. We also propose an effective standard for the placement of calibration plate, which is of great significance to reduce the number of iterations of the program. According to a series of experiments based on the above standard, the number of iterations of the proposed re-projection error self-correction method is no more than 5 times. It proves that the proposed self-correction method and placement standard are feasible, the calibration process of structured light 3D reconstruction is optimized, and its calibration efficiency is improved.
- Song Z .Recent progresses on real-time 3D shape measurement using digital fringe projection techniques[J].Optics & Lasers in Engineering, 2010, 48(2):149-158.Google ScholarCross Ref
- Karpinsky N , Hoke M , Chen V , High-resolution, real-time three-dimensional shape measurement on graphics processing unit[J].Optical Engineering, 2014, 53(2):024105.Google ScholarCross Ref
- Legarda-Sa′enz, Ricardo.Accurate procedure for the calibration of a structured light system[J].Optical Engineering, 2004, 43(2):464.Google ScholarCross Ref
- Song Z , Huang P S .Novel method for structured light system calibration[J].Optical Engineering, 2006, 45(8):083601.Google ScholarCross Ref
- D Moreno, Taubin G .Simple, Accurate, and Robust Projector-Camera Calibration[C]// Second International Conference on 3d Imaging.IEEE, 2012.Google Scholar
- Guo H , Xing S .Iterative calibration method for measurement system having lens distortions in fringe projection profilometry[J].Optics Express, 2019, 28(2).Google Scholar
- Takeda M , Mutoh K .Fourier transform profilometry for the automatic measurement of 3-D object shapes[J].Appl Opt, 1983, 22(24):3977.Google ScholarCross Ref
- Srinivasan V , Liu H C , Halioua M .Automated phase-measuring profilometry of 3-D diffuse objects[J].Applied Optics, 1984, 23(18):3105.Google ScholarCross Ref
- Zuo C , Huang L , Zhang M , Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review[J].Optics & Lasers in Engineering, 2016, 85(oct.):84-103.Google ScholarCross Ref
- Jiang C , Song Z .Absolute three-dimensional shape measurement with two-frequency square binary patterns[J].Applied Optics, 2017, 56(31):8710.Google ScholarCross Ref
- Song Z , Huang P S .Phase error compensation for a 3-D shape measurement system based on the phase-shifting method[J].Optical Engineering, 2005, 46(6).Google Scholar
- Song, Zhang, Shing-Tung, Generic nonsinusoidal phase error correction for three-dimensional shape measurement using a digital video projector.[J].Applied Optics, 2007.Google Scholar
- Hu H , Gao J , Zhou H , A combined binary defocusing technique with multi-frequency phase error compensation in 3D shape measurement[J].Optics and Lasers in Engineering, 2020, 124(Jan.):105806.1-105806.10.Google ScholarCross Ref
- Song Z , Jiang H , Lin H , A high dynamic range structured light means for the 3D measurement of specular surface[J].Optics and Lasers in Engineering, 2017, 95(AUG.):8-16.Google ScholarCross Ref
- Guo, Hongwei.Least-squares calibration method for fringe projection profilometry[J].Optical Engineering, 2005, 44(3):033603-033603-9.Google ScholarCross Ref
- Huang L , Chua P S , Asundi A .Least-squares calibration method for fringe projection profilometry considering camera lens distortion[J].Applied Optics, 2010, 49(9):1539.Google ScholarCross Ref
- An improved projector calibration method for structured-light 3D measurement systems[J].Measurement Science and Technology, 2021, 32(7):075011 (9pp).Google ScholarCross Ref
- Li Z , Shi Y , Wang C , Accurate calibration method for a structured light system[J].Optical Engineering, 2008, 47(5):525-534.Google ScholarCross Ref
- Zhang Z .A Flexible New Technique for Camera Calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334.Google Scholar
- Lourakis M I A .A Brief Description of the Levenberg-Marquardt Algorithm Implemened by levmar[J].foundation of research & technology, 2005.Google Scholar
- Jun Y Z, Peng H, Jian Q, Head Pose Estimation Algorithm Based On Structured Light Three-Dimensional Reconstruction[J].Laser & Optoelectronics Progress,2020.Google Scholar
Recommendations
Simultaneous reconstruction and calibration for multi-view structured light scanning
A self-recalibration method for multi-view structured light systems is proposed.The method allows simultaneous reconstruction and calibration.It is not restricted to special equipment, number of devices or specific arrangements.The proposal achieves the ...
Calibrating a Structured Light Stripe System: A Novel Approach
The problem associated with calibrating a structured light stripe system is that known world points on the calibration target do not normally fall onto every light stripe plane illuminated from the projector. We present in this paper a novel calibration ...
Calibration Method for Line Structured Light Vision Sensor Based on Vanish Points and Lines
ICPR '10: Proceedings of the 2010 20th International Conference on Pattern RecognitionLine structured light vision sensor (LSLVS) calibration is to establish the location relationship between the camera and the light plane projector. This paper proposes a geometrical calibration method of LSLVS based on the property of vanish points and ...
Comments