摘要
A monocular vision-based pose measurement system is provided for real-time measurement of a three-degree-of-freedom （3-DOF） air-bearing test-bed. Firstly, a circular plane cooperative target is designed. An image of a target fixed on the test-bed is then acquired. Blob analysis-based image processing is used to detect the object circles on the target. A fast algorithm （FCCSP） based on pixel statistics is proposed to extract the centers of object circles. Finally, pose measurements can be obtained when combined with the centers and the coordinate transformation relation. Experiments show that the proposed method is fast, accurate, and robust enough to satisfy the requirement of the pose measurement.
A monocular vision-based pose measurement system is provided for real-time measurement of a three-degree-of-freedom （3-DOF） air-bearing test-bed. Firstly, a circular plane cooperative target is designed. An image of a target fixed on the test-bed is then acquired. Blob analysis-based image processing is used to detect the object circles on the target. A fast algorithm （FCCSP） based on pixel statistics is proposed to extract the centers of object circles. Finally, pose measurements can be obtained when combined with the centers and the coordinate transformation relation. Experiments show that the proposed method is fast, accurate, and robust enough to satisfy the requirement of the pose measurement.
基金
This work is partially supported by the National Natural Science Foundation of China under Grant No. 11672290. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
