Infrared and Laser Engineering, Volume. 50, Issue 4, 20200280(2021)
Binocular camera calibration based on dual update strategy weighted differential evolution particle swarm optimization
Fig. 1. Pinhole imaging model of camera
Fig. 2. Camera calibration model for space target measurement
Fig. 3. Flow chart of camera parameter calibration based on WDEPSO algorithm
Fig. 4. Spatial distribution of synthetic data points
Fig. 5. Reconstruction error of spatial points. (a) By traditional method; (b) By the proposed method
Fig. 6. Distribution of reprojection error. (a) In direction; (b) In direction 重投影误差分布。(a) 方向;(b) 方向
Fig. 7. Planar calibration plate. (a) Spatial size; (b) Extraction and coding of circular mark points
Fig. 8. Calibration board posture distribution and image acquisition
Fig. 9. Staff gagues
Fig. 10. Structure of vision measurement system
Fig. 11. Reconstruction of space target attitude angle. (a) Roll angle; (b) Pitch angle; (c) Yaw angle
Fig. 12. The relationship between attitude angle measurement error and angle amplitude
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Guiyang Zhang, Ju Huo, Ming Yang, Xing Zhou, Liang Wei, Muyao Xue. Binocular camera calibration based on dual update strategy weighted differential evolution particle swarm optimization[J]. Infrared and Laser Engineering, 2021, 50(4): 20200280
Category: Optical design
Received: Jul. 14, 2020
Accepted: --
Published Online: Jul. 30, 2021
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