Efficient Nonlinear Finite Element Modeling of Nonrigid Objects via Optimization of Mesh Models

摘要: In this paper we propose a new general framework for the application ofthe nonlinear finite element method(FEM) to nonrigid motion analysis. We construct models by integrating image data and prior knowledge, using well-established techniques from computer vision, structural mechanics, computer-aided design (CAD). These guide process of optimization mesh models.Linear FEM proved be successful physically based modeling tool in solving limited types problems. However, linear cannot handle materials or large deformations. Application analysis has been restricted difficulties with high computational complexity noise sensitivity.We tackle problems associated changing parametric description object allow easy automatic control model, motivated possible displacements address worst effects noise, applying strategies, utilizing multiscale methods. The combination these methods represents systematic approach class applications which sufficiently precise flexible can built.The results skin elasticity experiments demonstrate success proposed method. model allows us objectively detect differences between normal abnormal skin. Our work demonstrates possibility accurate computation point correspondences force recovery range sequences containing objects motion.