• Acta Optica Sinica
  • Vol. 40, Issue 10, 1015001 (2020)
Xiao Wang1、2, Yuliang Liu1、2、*, and liyan Li1、2
Author Affiliations
  • 1Optoelectronic System Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
  • 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS202040.1015001 Cite this Article Set citation alerts
    Xiao Wang, Yuliang Liu, liyan Li. Symmetry-Based Projective Algorithm for 3D Localization of Small Target at a Wide Field of View[J]. Acta Optica Sinica, 2020, 40(10): 1015001 Copy Citation Text show less
    Schematic diagram of structured light system based on fringe projection
    Fig. 1. Schematic diagram of structured light system based on fringe projection
    Point cloud data of valve. (a) Front view; (b) top view
    Fig. 2. Point cloud data of valve. (a) Front view; (b) top view
    Cylinder valve. (a) Physical map; (b) sketch map
    Fig. 3. Cylinder valve. (a) Physical map; (b) sketch map
    Exact position for coordinate P and pose Q
    Fig. 4. Exact position for coordinate P and pose Q
    Calculation pose Q. (a) QF-2/QF-2C; (b) YSF-1
    Fig. 5. Calculation pose Q. (a) QF-2/QF-2C; (b) YSF-1
    Schematic diagram of each position in valve
    Fig. 6. Schematic diagram of each position in valve
    Calculation coordinate P*. (a) QF-2/QF-2C; (b) YSF-1
    Fig. 7. Calculation coordinate P*. (a) QF-2/QF-2C; (b) YSF-1
    Overall flow chart of the algorithm
    Fig. 8. Overall flow chart of the algorithm
    Valve in experimental scene
    Fig. 9. Valve in experimental scene
    Edge detection result with Canny algorithm
    Fig. 10. Edge detection result with Canny algorithm
    Discrimination of detection accuracy
    Fig. 11. Discrimination of detection accuracy
    Pre-processing. (a) Initial localization; (b) segmentation result
    Fig. 12. Pre-processing. (a) Initial localization; (b) segmentation result
    Algorithm performance for defective data. (a) Reflection; (b) incomplete shooting
    Fig. 13. Algorithm performance for defective data. (a) Reflection; (b) incomplete shooting
    Coordinate error results for different algorithms
    Fig. 14. Coordinate error results for different algorithms
    Scanning speed /(frame·s-1)Resolution /pixelCenter distance /mmMeasurement range /mmFOV /mmRepeatability /μm
    2.13.21500±300600×45075
    Table 1. 3D camera performance parameters
    Orientationerror /rad0-0.010.01-0.020.02-0.030.03-0.04
    Number of valves for QF-281831
    Number of valves for YSF-1101910
    Table 2. Distribution of orientation errors
    Coordinate error /mm0.1-0.20.2-0.30.3-0.40.4-0.50.5-0.60.6-0.7
    Number of valves for QF-2389631
    Number of valves for YSF-12810532
    Table 3. Distribution of coordinate errors
    SituationCoordinate P /mmCoordinate P' /mmError /mm
    (a)(12.045, -35.056, 96.976)(12.270, -35.391, 96.874)0.416
    (b)(8.268, -8.520, 85.013)(8.057, -8.328, 84.898)0.328
    Table 4. Coordinate errors for situation (a)&(b)
    Xiao Wang, Yuliang Liu, liyan Li. Symmetry-Based Projective Algorithm for 3D Localization of Small Target at a Wide Field of View[J]. Acta Optica Sinica, 2020, 40(10): 1015001
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