Constraint-based Point Set Denoising

Many applications of point set surfaces work with noisy point sets, requiring a denoising operation to reconstruct the original surface. This project will implement constraint-based point set denoising-- an iterative, anisotropic denoising algorithm presented by Yadav et al. While denoising algorithms exist in CGAL, this method focuses on preserving sharp geometries during the denoising process. The final deliverable for this project will contribute to CGAL's Point Set Processing package.