Surface Smoothing based on Discrete Orthogonal Polynomial
This paper proposes a feature-preserving triangle-mesh denoising method that estimates normals from non-local similar structures, filters normal matrices with discrete orthogonal polynomial fitting, and updates vertices to suppress scan noise while retaining sharp geometric details.
Jan 1, 2025
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
HLO: Half-kernel Laplacian Operator for surface smoothing
HLO is a half-kernel Laplacian operator for mesh surface smoothing that preserves sharp features and alleviates shrinkage artifacts better than uniform Laplacian denoising, performing on par with or better than state-of-the-art on high-noise meshes.
Jan 1, 2020