A technique is introduced for 3-D surface reconstruction and graphic animation using elastic, deformable models. The basic structure used is an imaginary elastic grid, which is made of membranous, thin-plate type material. This elastic grid is bent, twisted, compressed, and stretched into any desirable 3-D shape, or from one flexible state to another. The desired shape can be specified by the shape constraints derived automatically from images of a real 3-D object, or by an analytic surface function. Shape reconstruction is guided by a set of imaginary springs that enforce the consistency in the position, orientation, and/or curvature measurements of the elastic grid and the desired shape. The dynamics of a reconstruction process is regulated by the Hamilton principle or the principle of the least action. Implementation results using simple analytic shapes and images of real free-form objects are presented. The authors believe that their model is widely applicable in many surface reconstruction and graphic animation processes.<>
Surface reconstruction using deformable models with interior and boundary constraints
01.01.1990
428512 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
3D Curves Reconstruction Based on Deformable Models
British Library Online Contents | 2003
|Deformable Surface 3D Reconstruction from Monocular Images
TIBKAT | 2010
|Optical Flow Constraints on Deformable Models with Applications to Face Tracking
British Library Online Contents | 2000
|3D Surface Reconstruction Using Graph Cuts with Surface Constraints
British Library Conference Proceedings | 2006
|Imposing Hard Constraints on Deformable Models through Optimization in Orthogonal Subspaces
British Library Online Contents | 1997
|