• Optics and Precision Engineering
  • Vol. 29, Issue 9, 2235 (2021)
Mei-tu YE1,2, Jin LIANG1,*, Lei-gang LI2, Mao-dong REN2, and Ren-hong CHEN1,2
Author Affiliations
  • 1State Key Laboratory for Manufacturing Systems Engineering, School of Mechaical Engineering, Xi'an Jiaotong University, Xi’an70049, China
  • 2Innovation Lab, XTOP 3D Technology (Shenzhen) Co. Ltd., Shenzhen518060, China
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    DOI: 10.37188/OPE.20212909.2235 Cite this Article
    Mei-tu YE, Jin LIANG, Lei-gang LI, Mao-dong REN, Ren-hong CHEN. Discretization matching of weakly-correlated speckle images in oblique field of view[J]. Optics and Precision Engineering, 2021, 29(9): 2235 Copy Citation Text show less
    Coefficient field of image in different oblique degrees
    Fig. 1. Coefficient field of image in different oblique degrees
    Image correlation process with the discretization matching method
    Fig. 2. Image correlation process with the discretization matching method
    Schematic diagram of the discretization matching method
    Fig. 3. Schematic diagram of the discretization matching method
    Discretization subset matching principle
    Fig. 4. Discretization subset matching principle
    DIC matching of small subsets within the oblique images
    Fig. 5. DIC matching of small subsets within the oblique images
    Elimination of mismatched points
    Fig. 6. Elimination of mismatched points
    Schematic diagram of oblique imaging projection
    Fig. 7. Schematic diagram of oblique imaging projection
    Simulated speckle images in different oblique angles
    Fig. 8. Simulated speckle images in different oblique angles
    Matching probability statistics of oblique images under different subset sizes
    Fig. 9. Matching probability statistics of oblique images under different subset sizes
    Displacement u field and correlation residual of different oblique angles
    Fig. 10. Displacement u field and correlation residual of different oblique angles
    Accuracy test results of discretization matching method
    Fig. 11. Accuracy test results of discretization matching method
    Matching examples of different matching methods
    Fig. 12. Matching examples of different matching methods
    Performance comparison of different matching methods
    Fig. 13. Performance comparison of different matching methods
    Acquire UAV blade images under oblique field of view
    Fig. 14. Acquire UAV blade images under oblique field of view
    Discretization matching of oblique speckle images of the UAV blade
    Fig. 15. Discretization matching of oblique speckle images of the UAV blade
    Dynamic deformation fields of the UAV blade
    Fig. 16. Dynamic deformation fields of the UAV blade
    匹配方法失效角度/°匹配对数误匹配概率精度损失/pixel匹配时间/s
    传统匹配[528.5264004.2%01.023
    SURF+RANSAC[1121.39981.02%±0.007 50.618
    FAST AIIM[13> 42.782440%±0.00513.36
    本文方法> 42.7864000%±0.031.576
    Table 1. Performance comparison of different matching methods
    Mei-tu YE, Jin LIANG, Lei-gang LI, Mao-dong REN, Ren-hong CHEN. Discretization matching of weakly-correlated speckle images in oblique field of view[J]. Optics and Precision Engineering, 2021, 29(9): 2235
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