Efficient Feature-preserving Local Projection Operator for Geometry Reconstruction

Abstract

This paper proposes an efficient and feature-preserving locally optimal projection operator (FLOP) for geometry reconstruction. We first develop a bilateral weighted local optimal projection operator. We then present a novel fast FLOP operator based on random sampling of Kernel Density Estimate (KDE), which greatly accelerates FLOP. The experimental results show that the proposed algorithms are efficient and robust for feature-preserving geometry reconstruction.