CNN-based 3D Pose Estimation for Weakly Textured Rotationally Symmetric Targets
Current 3D pose estimation methods face challenges in handling rotationally symmetric objects and generalizing to unseen objects, which limits their real-world applicability. To address these issues, this paper proposes a novel 3D pose estimation method. First, the distribution of sampled viewpoints is designed based o...