Abstract
Aiming at the noise disturbance of unwrapping phases of control points in the camera-projector calibration system, a random sample consensus (RANSAC) based plane fitting method is proposed to filter the phase noise in this paper. Different from the classical least squares method using all data, the points with noise will not be used to fit the plane in the proposed RANSAC method, which improves the accuracy of plane fitting. The proposed method suits for any two-dimensional (2D) calibration patterns, such as checkerboard or black dots with white background, which improves the flexibility of camera-projector system calibration.
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HUANG C, HUANG Y, CHAN D, et al. Shape-reserved stereo matching with segment-based cost aggregation and dual-path refinement[J]. EURASIP journal on image and video processing, 2020, 2020(38).
HU Y, LIANG Z, FENG S, et al. Calibration and rectification of bi-telecentric lenses in Scheimpflug condition[J]. Optics and lasers in engineering, 2022, 149: 106793.
FENG S, ZUO C, ZHANG L, et al. Calibration of fringe projection profilometry: a comparative review[J]. Optics and lasers in engineering, 2021, 143: 106622.
LI W, ZHANG Q, ZHONG L, et al. Image definition assessment based on Tchebichef moments for micro-imaging[J]. Optics express, 2019, 27(24): 34888.
JI Y, CHEN Y, SONG L, et al. 3D defect detection of connectors based on structured light[J]. Optoelectronics letters, 2021, 17(2): 107–111.
SURESH V, HOLTON J, LI B. Structured light system calibration with unidirectional fringe patterns[J]. Optics and lasers in engineering, 2018, 106: 86–93.
KANG X, LI T, SIA B, et al. A novel calibration method for arbitrary fringe projection profilometry system[J]. Optik - international journal for light and electron optics, 2017, 148: 227–237.
SONG L, LIN W, YANG Y, et al. Fast 3D reconstruction of dental cast model based on structured light[J]. Optoelectronics letters, 2018, 14(6): 457–460.
SONG L, CHEN C, CHEN Z, et al. Essential parameter calibration for the 3D scanner with only single camera and projector[J]. Optoelectronics letters, 2013, 9(2): 143–147.
ZHANG Z, MA H, ZHANG S, et al. Simple calibration of a phase-based 3D imaging system based on uneven fringe projection[J]. Optics letters, 2011, 36(5): 627–629.
ZHANG Z, HUANG S, MENG S, et al. A simple, flexible and automatic 3D calibration method for a phase calculation-based fringe projection imaging system[J]. Optics express, 2013, 21(10): 12218.
DI DONATO A, FABI G, MENCARELLI D, et al. Heterodyne phase shifting method in scanning probe microscopy[J]. Journal of the Optical Society of America A, optics, image science, and vision, 2021, 38(3): 378–386.
XUE Q, JI W, MENG H, et al. Estimating the quality of stripe in structured light 3D measurement[J]. Optoelectronics letters, 2022, 18(2): 103–108.
ZHANG Z. A flexible new technique for camera calibration[J]. IEEE transactions on pattern analysis and machine intelligence, 2000, 22(11): 1330–1334.
MUÑOZ A, FLORES J L, PARRAESCAMILLA G, et al. Least-squares gamma estimation in fringe projection profilometry[J]. Applied optics, 2021, 60(5): 1137.
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This work has been supported by the Guangxi Science and Technology Base and Special Talents Program (No.2018AD19077), the Guangxi Innovation and Driving Development Special Funds Project (No.AA18118002-3), and the Guangxi Natural Science Foundation (No.2018JA170110).
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Li, W., Zhang, Z., Jiang, Z. et al. A RANSAC based phase noise filtering method for the camera-projector calibration system. Optoelectron. Lett. 18, 618–622 (2022). https://doi.org/10.1007/s11801-022-2045-2
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DOI: https://doi.org/10.1007/s11801-022-2045-2