Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181508(2020)
Pose Estimation Algorithm for Random Bins Based on Point Pair Features
Fig. 1. Flow chart of pose estimation algorithm based on point pair features
Fig. 2. Diagram of point pair feature
Fig. 3. Diagram of building a Hash table
Fig. 4. Diagram of local coordinates
Fig. 5. Diagram of voting process
Fig. 6. Diagram of consistency adjustment of point cloud normal direction. (a) Original point clouds; (b) point cloud normal direction before adjustment; (c) point cloud normal direction after adjustment
Fig. 7. Diagram of gripping pose strategy adjustment. (a) Objects to be gripped; (b) top 5 proposed poses; (c) output poses
Fig. 8. Diagram of adjustment of angle deviation caused by rotational symmetry
Fig. 9. Diagrams of gripping system. (a) Simulation environment; (b) real environment
Fig. 10. Diagrams of pose estimation. (a) Simulation environment; (b) real environment
Fig. 11. Line charts of pose estimation results. (a) Simulation environment; (b) real environment
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Guanyu Xu, Hongwei Dong, Junhao Qian, Zhenlei Xu. Pose Estimation Algorithm for Random Bins Based on Point Pair Features[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181508
Category: Machine Vision
Received: Nov. 22, 2019
Accepted: Feb. 24, 2020
Published Online: Sep. 2, 2020
The Author Email: Xu Guanyu (1305392905@qq.com), Dong Hongwei (hwdong.cn@gmail.com)