Title :
Nonrigid motion analysis based on dynamic refinement of finite element models
Author :
Tsap, Leonid V. ; Goldof, D.B. ; Sarkar, Sudeep
Author_Institution :
Center for Appl. Sci. Comput., Lawrence Livermore Nat. Lab., CA, USA
fDate :
5/1/2000 12:00:00 AM
Abstract :
We propose new algorithms for accurate nonrigid motion tracking. Given an initial model representing general knowledge of the object, a set of sparse correspondences, and incomplete or missing information about geometry or material properties, we can recover dense motion vectors using finite element models. The method is based on the iterative analysis of the differences between the actual and predicted behaviors. Unknown parameters are recovered using an iterative descent search for the best nonlinear finite element model that approximates nonrigid motion of the given object. During this search process, we not only estimate material properties, but also infer dense point correspondences from our initial set of sparse correspondences. Thus, during tracking, the model is refined which, in turn, improves tracking quality. Experimental results demonstrate the success of the proposed algorithm. Our work demonstrates the possibility of accurate quantitative analysis of nonrigid motion in range image sequences with objects consisting of multiple materials and 3D volumes
Keywords :
computer vision; finite element analysis; iterative methods; motion estimation; optical tracking; search problems; computer vision; deformable models; finite element models; iterative method; nonrigid motion tracking; search problem; Finite element methods; Image analysis; Image motion analysis; Information geometry; Iterative algorithms; Iterative methods; Material properties; Motion analysis; Solid modeling; Tracking;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on