Proc. SPIE. 5007, Human Vision and Electronic Imaging VIII
KEYWORDS: Visual process modeling, Data modeling, 3D modeling, Computer vision technology, Finite element methods, Machine vision, Motion models, Motion analysis, Motion estimation, 3D image processing
In this paper, we address the problem of 3d motion and structure estimation of 3d objects appearing in 2d images; namely, the estimation of the parameters of 3d motion, such as rotation and translation in 3d space, and the third dimension of certain objects that can be seen in a time sequence of 2d images. The study of the problem will be restricted to the case of non-rigid objects. The main problem with non-rigid motion is that it is not structured in a way that would allow its estimation with a few parameters, as in the case of rigid motion. That is why the main effort in most of the approaches is in representing deformable objects with suitable models that require only a small number of parameters for their description. In this work we perform a survey of algorithms proposed for the 3d motion and structure estimation of non-rigid objects, using the Finite Element Method. A classification of established algorithms is presented, with respect to the actual technique utilized and the applications for which they are most suitable.