DocumentCode :
2300050
Title :
Adaptive and deformable models based on simplex meshes
Author :
Delingette, H.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Sophia-Antipolis, France
fYear :
1994
fDate :
11-12 Nov 1994
Firstpage :
152
Lastpage :
157
Abstract :
Simplex meshes are simply-connected meshes that are topologically the dual of triangulations. We have introduced a simplex mesh representation for recognizing partially-occluded smooth objects. In this paper, we present a physically-based approach for recovering 3D objects, based on the geometry of simplex meshes. Elastic behavior is modelled by local stabilizing functionals controlling the mean curvature through the simplex angle extracted at each vertex. Those functionals are viewpoint-invariant, intrinsic and scale-sensitive. Unlike deformable surfaces defined on regular grids, simplex meshes are highly adaptive structures, and we have developed a refinement process for increasing the mesh resolution at highly curved or inaccurate parts. End contours are created in a semi-automatic way. Finally, operations for connecting simplex meshes are performed to recover complex models from parts of simpler shapes
Keywords :
computational geometry; elastic deformation; functional equations; image recognition; image reconstruction; mesh generation; topology; 3D object recovery; adaptive structures; connecting operations; curvature control; deformable models; elastic behavior; geometry; inaccurate parts; intrinsic functionals; local stabilizing functionals; mesh resolution; partially-occluded smooth object recognition; physically-based approach; refinement process; scale-sensitive functionals; semiautomatic end contour creation; simplex angle; simplex meshes; simply-connected meshes; triangulations; viewpoint-invariant functionals; Deformable models; Geometry; Image reconstruction; Image resolution; Shape control; Solid modeling; Surface fitting; Surface reconstruction; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Motion of Non-Rigid and Articulated Objects, 1994., Proceedings of the 1994 IEEE Workshop on
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6435-5
Type :
conf
DOI :
10.1109/MNRAO.1994.346242
Filename :
346242
Link To Document :
بازگشت