Lei Yin, Xiangjun Wang, Guanyu Qin. Dynamic Measurement Method of Large-Scale Surface Based on Visual Structured Light Technology[J]. Laser & Optoelectronics Progress, 2020, 57(13): 131202
- Laser & Optoelectronics Progress
- Vol. 57, Issue 13, 131202 (2020)
Fig. 1. Schematic of mobile binocular structured light surface reconstruction system
Fig. 2. Measurement system of experiment. (a) Vehicle dynamic surface scanning system; (b) vehicle sensors
Fig. 3. Effect images of feature point matching and tracking. (a) Feature point matching of binocular images; (b) feature point tracking between front and back position images
Fig. 4. Three-dimensional coordinate calculation of feature point
Fig. 5. Effect of surface reconstruction. (a) Surface shape; (b) point cloud of the surface; (c) local detail of the point cloud; (d) three-dimensional shape after surface fitting
Fig. 6. Reconstruction results before global optimization. (a) Point cloud of the reconstruction results; (b) three-dimensional shape after surface fitting
Fig. 7. Reconstruction results after global optimization. (a) Point cloud of the reconstruction results; (b) three-dimensional shape after surface fitting
Fig. 8. RMSE of the points on each light bar to the fitted plane before and after global optimization
Fig. 9. Schematic diagram of the deformation measurement verification system. (a) Coordinate measuring machine; (b) deformation verification point; (c) static reference point of binocular image
Fig. 10. Deformation comparison of two reconstructed point clouds. (a) Schematic diagram of the point cloud after unifying the global coordinate system; (b) schematic diagram of the point cloud enlarged
Fig. 11. Deformation errors of the 5 measurement points
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Table 1. Calibration parameters of the system
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Table 2. RMSE and relative error of the 5 measured points
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