DocumentCode
3019167
Title
A Quasi-Minimal Model for Paper-Like Surfaces
Author
Perriollat, Mathieu ; Bartoli, Adrien
Author_Institution
LASMEA -CNRS / UBP Clermont-Ferrand, Clermont-Ferrand
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
7
Abstract
Smoothly bent paper-like surfaces are developable. They are however difficult to minimally parameterize since the number of meaningful parameters is intrinsically dependent on the actual deformation. Previous generative models are either incomplete, i.e. limited to subsets of developable surfaces, or depend on huge parameter sets. We propose a generative model governed by a quasi-minimal set of intuitive parameters, namely rules and angles. More precisely, a flat mesh is bent along guiding rules, while a number of extra rules controls the level of smoothness. The generated surface is guaranteed to be developable. A fully automatic multi-camera three dimensional reconstruction algorithm, including model-based bundle-adjustment, demonstrates our model on real images.
Keywords
image reconstruction; bent paper-like surfaces; flat mesh; guiding rules; model-based bundle-adjustment; multicamera 3D reconstruction algorithm; quasi-minimal model; Automatic control; Cameras; Computer vision; Cost function; Face detection; Linear approximation; Principal component analysis; Reconstruction algorithms; Surface fitting; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2007.383356
Filename
4270354
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