DocumentCode
3331355
Title
Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity
Author
Malti, Abed ; Hartley, Richard ; Bartoli, Alberto ; Kim, Jung-Ho
Author_Institution
ALCoV, Univ. d´Auvergne, Clermont-Ferrand, France
fYear
2013
fDate
23-28 June 2013
Firstpage
1522
Lastpage
1529
Abstract
We propose a new approach for template-based extensible surface reconstruction from a single view. We extend the method of isometric surface reconstruction and more recent work on conformal surface reconstruction. Our approach relies on the minimization of a proposed stretching energy formalized with respect to the Poisson ratio parameter of the surface. We derive a patch-based formulation of this stretching energy by assuming local linear elasticity. This formulation unifies geometrical and mechanical constraints in a single energy term. We prevent local scale ambiguities by imposing a set of fixed boundary 3D points. We experimentally prove the sufficiency of this set of boundary points and demonstrate the effectiveness of our approach on different developable and non-developable surfaces with a wide range of extensibility.
Keywords
Poisson ratio; elasticity; image reconstruction; solid modelling; Poisson ratio parameter; conformal surface reconstruction; geometrical constraints; isometric surface reconstruction; local linear elasticity; mechanical constraints; monocular template-based 3D reconstruction; patch-based formulation; stretching energy; template-based extensible surface reconstruction; Cameras; Deformable models; Image reconstruction; Materials; Shape; Surface reconstruction; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location
Portland, OR
ISSN
1063-6919
Type
conf
DOI
10.1109/CVPR.2013.200
Filename
6619044
Link To Document