Vision-Related MLS Image Deformation Using Saliency Map
Yong Zhang, Jianhuang Lai, Xiaorong Du · 2011
We provide a vision-related image deformation method based on Moving Least Squares (MLS) and visual saliency map. As the improvement of image deformation using MLS, we propose a new weight function to improve the MLS image deformation. A visual saliency-related deformation weight definition is proposed to ensure deformations are more easily to kept local shape on high visual saliency region and changed the non-vital part of image. Being different from the original MLS method, our weight function not only based on the distance between current pixel and a certain control points but also has benefited from the visual saliency map of undeformed image. In order to adjust the saliency of salient region during deformation, we have revised original visual saliency map by 2 parameters: segmentation threshold and gray level increment. All experiments and analysis have shown that our deformation can achieve a more realistic effect than original MLS image deformation.