Multi-scale Mesh Saliency with local adaptive patches for ViewPoint Selection

Our visual attention is attracted by specific areas into 3D objects (repre- sented by meshes). This visual attention depends on the degree of saliency exposed by these areas. In this paper, we propose a novel multi-scale ap- proach for detecting salient regions. To do so, we define a local surface descriptor based on patches of adaptive size and filled in with a local height field. The single-scale saliency of a vertex is defined as its degree measure in the mesh with edges weights computed from adaptive patch similarities weighted by the local curvature. Finally the multi-scale saliency is defined as the average of single-scale saliencies weighted by their respective entropies. The contribution of the multi-scale aspect is analyzed and showed through the different results. The strength and the stability of our approach with re- spect to noise and simplification are also studied. Our approach is compared to the state-of-the-art and presents competitive results.