Mesh denoising via iterative alpha-trimming and nonlinear diffusion of normals with automatic thresholding

We present two simple yet effective mesh denoising methods. The methods combine a diffusion (repeated local averaging) of mesh normals with histogram-based filtering procedures. According to our experimental results, the methods outperform conventional smoothing techniques in denoising meshes with sharp features.