Citation: | HUANG Hao-zhen, NIU Bin, CHENG Shen, QU Xing-hua, ZHANG Fu-min. Color projector light intensity adaptive high dynamic range 3D measurement method[J]. Chinese Optics. doi: 10.37188/CO.EN-2024-0038 |
The Fringe Projection Profilometry (FPP) system with a single exposure time or a single projection intensity is limited by the dynamic range of the camera, which can lead to overexposure and underexposure of the image, resulting in point cloud loss or reduced accuracy. To address this issue, unlike the pixel modulation method of projectors, we utilize the characteristics of color projectors where the intensity of the three-channel LED can be controlled independently. We propose a method for separating the projector's three-channel light intensity, combined with a color camera, to achieve single exposure and multi-intensity image acquisition. Further, the crosstalk coefficient is applied to predict the three-channel reflectance of the measured object. By integrating clustering and channel mapping, we establish a pixel-level mapping model between the projector's three-channel current and the camera's three-channel image intensity, which realizes the optimal projection current prediction and the high dynamic range (HDR) image acquisition. The proposed method allows for high-precision three-dimensional (3D) data acquisition of HDR scenes with a single exposure. The effectiveness of this method has been validated through experiments with standard planes and standard steps, showing a significant reduction in mean absolute error (44.6%) compared to existing single-exposure HDR methods. Additionally, the number of images required for acquisition is significantly reduced (by 70.8%) compared to multi-exposure fusion methods. This proposed method has great potential in various FPP-related fields.
[1] |
YANG SH CH, HUANG H L, WU G X, et al. High-speed three-dimensional shape measurement with inner shifting-phase fringe projection profilometry[J]. Chinese Optics Letters, 2022, 20(11): 112601. doi: 10.3788/COL202220.112601
|
[2] |
ZHENG ZH J, GAO J, ZHANG L Y, et al. A novel defocus-degree-based phase unwrapping and fusion algorithm for high-speed and large-depth-range 3D measurement[J]. IEEE Transactions on Industrial Electronics, 2023, 70(4): 4278-4288. doi: 10.1109/TIE.2022.3176265
|
[3] |
MO C L, WANG L ZH, REN M D, et al. Scanning measurement method of small size parts without marks[J]. Chinese Optics, 2024, 17(2): 409-422. (in Chinese). doi: 10.37188/CO.2023-0103
|
[4] |
ZUO CH, FENG SH J, HUANG L, et al. Phase shifting algorithms for fringe projection profilometry: a review[J]. Optics and Lasers in Engineering, 2018, 109: 23-59. doi: 10.1016/j.optlaseng.2018.04.019
|
[5] |
WANG ZH Y, LI K, GAO N, et al. High dynamic range 3D shape measurement based on crosstalk characteristics of a color camera[J]. Optics Express, 2023, 31(23): 38318-38333. doi: 10.1364/OE.504447
|
[6] |
SONG ZH, JIANG H L, LIN H B, et al. A high dynamic range structured light means for the 3D measurement of specular surface[J]. Optics and Lasers in Engineering, 2017, 95: 8-16. doi: 10.1016/j.optlaseng.2017.03.008
|
[7] |
LIU Z L, LI M Y, LU X Y, et al. On-machine detection technology and application progress of high dynamic range fringe structured light[J]. Chinese Optics, 2024, 17(1): 1-18. (in Chinese). doi: 10.37188/CO.2023-0068
|
[8] |
RI SH E, FUJIGAKI M, MORIMOTO Y. Intensity range extension method for three-dimensional shape measurement in phase-measuring profilometry using a digital micromirror device camera[J]. Applied Optics, 2008, 47(29): 5400-5407. doi: 10.1364/AO.47.005400
|
[9] |
NIU B, QU X H, GUAN X M, et al. Rapid detection of highly reflective surface defects based on digital micromirror device[J]. Optics Communications, 2021, 501: 127385. doi: 10.1016/j.optcom.2021.127385
|
[10] |
HUANG H ZH, NIU B, CHENG S, et al. Adaptive pixel-by-pixel modulated 3-D morphometry based on digital micromirror device[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 5012010.
|
[11] |
SURESH V, WANG Y J, LI B W. High-dynamic-range 3D shape measurement utilizing the transitioning state of digital micromirror device[J]. Optics and Lasers in Engineering, 2018, 107: 176-181. doi: 10.1016/j.optlaseng.2018.03.030
|
[12] |
ZHANG S. Rapid and automatic optimal exposure control for digital fringe projection technique[J]. Optics and Lasers in Engineering, 2020, 128: 106029. doi: 10.1016/j.optlaseng.2020.106029
|
[13] |
ZHANG L, CHEN Q, ZUO CH, et al. Real-time high dynamic range 3D measurement using fringe projection[J]. Optics Express, 2020, 28(17): 24363-24378. doi: 10.1364/OE.398814
|
[14] |
WANG J H, ZHOU Y G, YANG Y X. A novel and fast three-dimensional measurement technology for the objects surface with non-uniform reflection[J]. Results in Physics, 2020, 16: 102878. doi: 10.1016/j.rinp.2019.102878
|
[15] |
ZHANG S, YAU S T. High dynamic range scanning technique[J]. Optical Engineering, 2009, 48(3): 033604. doi: 10.1117/1.3099720
|
[16] |
WANG J H, YANG Y X. A new method for high dynamic range 3D measurement combining adaptive fringe projection and original-inverse fringe projection[J]. Optics and Lasers in Engineering, 2023, 163: 107490. doi: 10.1016/j.optlaseng.2023.107490
|
[17] |
WANG J H, XU P, SHAO M W, et al. High dynamic range 3D shape reconstruction: combination of adaptive fringe intensity, iterative exposure time adjustment and least quadratic curve fitting[J]. Optik, 2024, 307: 171813. doi: 10.1016/j.ijleo.2024.171813
|
[18] |
SUN J H, ZHANG Q Y. A 3D shape measurement method for high-reflective surface based on accurate adaptive fringe projection[J]. Optics and Lasers in Engineering, 2022, 153: 106994. doi: 10.1016/j.optlaseng.2022.106994
|
[19] |
LIU Y ZH, FU Y J, CAI X Q, et al. A novel high dynamic range 3D measurement method based on adaptive fringe projection technique[J]. Optics and Lasers in Engineering, 2020, 128: 106004. doi: 10.1016/j.optlaseng.2020.106004
|
[20] |
LIN H, GAO J, MEI Q, et al. Adaptive digital fringe projection technique for high dynamic range three-dimensional shape measurement[J]. Optics Express, 2016, 24(7): 7703-7718. doi: 10.1364/OE.24.007703
|
[21] |
LI M H, CAO Y P, WU H T. Three-dimensional reconstruction for highly reflective diffuse object based on online measurement[J]. Optics Communications, 2023, 533: 129276. doi: 10.1016/j.optcom.2023.129276
|
[22] |
HU Y, CHEN Q, LIANG Y CH, et al. Microscopic 3D measurement of shiny surfaces based on a multi-frequency phase-shifting scheme[J]. Optics and Lasers in Engineering, 2019, 122: 1-7. doi: 10.1016/j.optlaseng.2019.05.019
|
[23] |
FENG W, XU SH N, WANG H H, et al. Three-dimensional measurement method of highly reflective surface based on per-pixel modulation[J]. Chinese Optics, 2022, 15(3): 488-497. (in Chinese). doi: 10.37188/CO.2021-0220
|
[24] |
FENG W, TANG SH J, ZHAO X D, et al. Three-dimensional shape measurement method of high-reflective surfaces based on adaptive fringe-pattern[J]. Acta Optica Sinica, 2020, 40(5): 0512003. (in Chinese). doi: 10.3788/AOS202040.0512003
|
[25] |
CAI X X, XU R H, LI H, et al. High-reflective surfaces shape measurement technology based on adaptive fringe projection[J]. Sensors and Actuators A: Physical, 2022, 347: 113916. doi: 10.1016/j.sna.2022.113916
|
[26] |
LIU Y ZH, FU Y J, ZHUAN Y H, et al. High dynamic range real-time 3D measurement based on Fourier transform profilometry[J]. Optics & Laser Technology, 2021, 138: 106833.
|
[27] |
OTI E U, OLUSOLA M O, EZE F C, et al. Comprehensive review of K-means clustering algorithms[J]. International Journal of Advances in Scientific Research and Engineering, 2021, 7(8): 64-69. doi: 10.31695/IJASRE.2021.34050
|
[28] |
LAI B Y, CHIANG P J. Improved structured light system based on generative adversarial networks for highly-reflective surface measurement[J]. Optics and Lasers in Engineering, 2023, 171: 107783. doi: 10.1016/j.optlaseng.2023.107783
|
[29] |
IKOTUN A M, EZUGWU A E, ABUALIGAH L, et al. K-means clustering algorithms: a comprehensive review, variants analysis, and advances in the era of big data[J]. Information Sciences, 2023, 622: 178-210. doi: 10.1016/j.ins.2022.11.139
|