High-Boost Mesh Filtering for 3-D Shape Enhancement

In this paper, we propose a new technique for enhancing 3-D shapes approximated by triangle meshes: high-boost mesh filtering. Concepts based on the high-boost filter in signal and image processing are used for the development of the mesh filtering. An algorithm of the high-boost mesh filtering consists of affecting the high-boost filter to face normals on a triangle mesh and updating mesh vertex positions to make them adapt to the boosted normals. An enhancement operation is achieved by a procedure which subtract smoothed face normals from the original ones. To apply the high-boost filter to face normals on a triangle mesh, we require a low-pass filter for smoothing them. We use mean filtering applied to face normals in numerical experiments. The results indicate that the high-boost mesh filtering is a technique effective for 3-D shape enhancement.