Multi-scale mesh saliency with local adaptive patches for viewpoint selection

Highlights：

• We model the surface of the mesh by a non oriented graph. We associate to each vertex a normal vector and a 2D tangent plane.

• To describe the mesh surface, we use local patches with adaptive size. These patches are filled with a local height field of the spherical neighborhood.

• The single-scale saliency is defined as the vertices׳s degree measures with edges weights accounting for vertices similarities.

• The multi-scale saliency is defined as the average of single-scale saliencies weighted by their respective entropies.

• We discuss, compare the results with the state-of-the-art, and demonstrate the stability of our approach. We also present an application for selecting the most important viewpoints of 3D meshes.

摘要

Highlights•We model the surface of the mesh by a non oriented graph. We associate to each vertex a normal vector and a 2D tangent plane.•To describe the mesh surface, we use local patches with adaptive size. These patches are filled with a local height field of the spherical neighborhood.•The single-scale saliency is defined as the vertices׳s degree measures with edges weights accounting for vertices similarities.•The multi-scale saliency is defined as the average of single-scale saliencies weighted by their respective entropies.•We discuss, compare the results with the state-of-the-art, and demonstrate the stability of our approach. We also present an application for selecting the most important viewpoints of 3D meshes.