Abstract
Recent detail-preserving deformation techniques have exhibited the advantages in intuitive shape design such as deformations of articulate figures.Representative surface-based methods, however, suffer from high computational cost and lose interactivity especially when handling large-scale objects.This paper presents a fast deformation method for such large-scale objects while preserving their shape details.The present method extends the 2D deformation technique based on moving least squares in order to derive the optimal transformation for each vertex.Although allowing us fast deformations, the original 2D technique cannot provide thelocal control of the shape deformation due to the global support of the control graph.To address this issue, the present method introduces explicit associations between each vertex and the control sub-graph.This improvement also localizes the computational resources and accelerates the deformation.Moreover, by exploiting the parallel nature of the computation, we demonstrate the high performance for deforming complex models on GPU.
