Visual Saliency Guided Global and Local Resizing for 3D Models

In the literature of industrial designing and digital entertainment, the resizing of 3D complex models is a popular and useful operation. One of the key issues in model resizing is that some visually salient features of the underlying model should be preserved as much as possible. Based on the surface deformation scheme, a novel visual saliency guided content-aware model resizing approach is presented in this paper. Firstly, the edge sensitivity measure is determined by edge saliency measure and slippage value. Owing to the edge sensitivity, a quadratic energy function can thus be constructed to guide salient feature-preserving model resizing. Finally, the original model can be non-homogeneously scaled according to the per-edge scales solved by iteratively minimizing the quadratic energy function. Our visual saliency guided model resizing scheme can be benefit not only for the global resizing procedure but also for the local resizing operation. The experimental results demonstrate that our proposed model resizing scheme can effectively preserve the visually salient features of the underlying model in a content-aware manner.