A Novel Point Cloud Completion Method Based on Height Map and Dual-Mask Images
摘要
The height information of flotation foam is crucial in the titanium flotation. Foam height is embedded within foam point clouds. We are the first to introduce point cloud data in flotation analysis. Addressing the spatial distribution characteristics of holes in the point cloud data, we propose a method to complete the point cloud data by filling the foam height image. We propose a dual-mask-based inpainting approach, enabling inpainting of holes with distinct spatial distribution patterns in the original image. Experimental results demonstrate the effectiveness of the proposed image inpainting method for this specific inpainting task.