Segmentation-Driven Feature-Preserving Mesh Denoising
This paper proposes a segmentation-driven mesh denoising framework that partitions noisy triangle meshes with an edge-based region-growing operator, maps reliable regions back to the noisy input, and performs region-wise denoising to preserve sharp features.
Sep 1, 2024
Towards uniform point distribution in feature-preserving point cloud filtering
A point cloud filtering method simultaneously preserves sharp geometric features and promotes spatially uniform point distribution, resolving the typical trade-off where feature-preserving filters cluster points near sharp edges.
Jan 1, 2023