Pose Estimation of Circular Workpieces With Occlusion Based on GAN-Support Ellipse Detection in Manufacturing
Haodong Bie, Wenjun Xu, Bitao Yao, Jia Jie Cui, Yang Hu · 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) · 2022
In automated assembly tasks, ellipse detection is usually applied in the vision-based pose estimation of circular workpieces. However, the existing ellipse detection methods cannot effectively solve severe visual occlusion in cluttered environments. To address this problem, this paper proposes a Generative Adversarial Networks (GAN)-supported ellipse detection method against the occlusion condition. The trained GAN network can restore the occluded image of workpieces, so that the elliptical features can be detected robustly. In the experiments with different degrees of occlusion, the ellipse detection rate is above 90%, which shows better performance than other existing methods.