• Acta Optica Sinica
  • Vol. 39, Issue 2, 0212007 (2019)
Wang Pan1、2、*, Feng Zhu1、3、4、*, Yingming Hao1、3、4, and Limin Zhang1、2
Author Affiliations
  • 1 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
  • 3 Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 4 Key Laboratory of Image Understanding and Computer Vision of Liaoning Province, Shenyang, Liaoning 110016, China
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    DOI: 10.3788/AOS201939.0212007 Cite this Article Set citation alerts
    Wang Pan, Feng Zhu, Yingming Hao, Limin Zhang. Pose Measurement Method of Three-Dimensional Object Based on Multi-Sensor[J]. Acta Optica Sinica, 2019, 39(2): 0212007 Copy Citation Text show less
    Coordinate system definition and calibration of the visual system
    Fig. 1. Coordinate system definition and calibration of the visual system
    Flow chart of the proposed method
    Fig. 2. Flow chart of the proposed method
    Object model and measurement results. (a) Three-dimensional model and definition of coordinate system of the object; (b) pose measurement result
    Fig. 3. Object model and measurement results. (a) Three-dimensional model and definition of coordinate system of the object; (b) pose measurement result
    Influence of grid size on the number of sampling points and efficiency of RANSAC
    Fig. 4. Influence of grid size on the number of sampling points and efficiency of RANSAC
    Result of target point cloud segmentation
    Fig. 5. Result of target point cloud segmentation
    Points in the gray image corresponding to the segmented target point cloud
    Fig. 6. Points in the gray image corresponding to the segmented target point cloud
    Representation of a line in a polar coordinate system
    Fig. 7. Representation of a line in a polar coordinate system
    Establishment of experimental environment. (a) Experimental environment; (b) targets to be measured
    Fig. 8. Establishment of experimental environment. (a) Experimental environment; (b) targets to be measured
    Results of linear feature extraction. (a) Space handrail; (b) drawer handle
    Fig. 9. Results of linear feature extraction. (a) Space handrail; (b) drawer handle
    ObjectDeviationEx /mmEy /mmEz /mmEα /(°)Eβ /(°)Eγ /(°)
    Space handrailMean absolute deviation0.311.200.980.970.410.32
    Maximum absolute deviation0.942.762.731.881.561.34
    Drawer handleMean absolute deviation1.260.681.350.510.490.37
    Maximum absolute deviation2.921.192.511.721.241.42
    Table 1. Measurement accuracy
    MethodsAverage time /ms
    Ulrich's method2120.43
    Proposed method148.14
    Table 2. Running time comparison
    Wang Pan, Feng Zhu, Yingming Hao, Limin Zhang. Pose Measurement Method of Three-Dimensional Object Based on Multi-Sensor[J]. Acta Optica Sinica, 2019, 39(2): 0212007
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