Title :
Active polyhedron: surface evolution theory applied to deformable meshes
Author :
Slabaugh, Greg ; Unal, Gozde
Author_Institution :
Intelligent Vision & Reasoning Dept., Siemens Corp. Res., Princeton, NJ, USA
Abstract :
This paper presents a novel 3D deformable surface that we call an active polyhedron. Rooted in surface evolution theory, an active polyhedron is a polyhedral surface whose vertices deform to minimize a regional and/or boundary-based energy functional. Unlike continuous active surface models, the vertex motion of an active polyhedron is computed by integrating speed terms over polygonal faces of the surface. The resulting ordinary differential equations (ODEs) provide improved robustness to noise and allow for larger time steps compared to continuous active surfaces implemented with level set methods. We describe an electrostatic regularization technique that achieves global regularization while better preserving sharper local features. Experimental results demonstrate the effectiveness of an active polyhedron in solving segmentation problems as well as surface reconstruction from unorganized points.
Keywords :
computational geometry; deformation; differential equations; image reconstruction; image segmentation; mesh generation; noise; solid modelling; 3D mesh deformable surface; active polyhedron; continuous active surface models; electrostatic regularization technique; ordinary differential equations; polygonal faces; segmentation problem; surface evolution theory; surface reconstruction; vertex motion; Acoustic noise; Active noise reduction; Deformable models; Electrostatics; Image reconstruction; Image segmentation; Noise robustness; Speckle; Surface reconstruction; Ultrasonic imaging;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.60