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  4. Laplacian Meshes for Monocular 3D Shape Recovery
 
conference paper not in proceedings

Laplacian Meshes for Monocular 3D Shape Recovery

Östlund, Jonas Olof Martin  
•
Varol, Aydin  
•
Ngo, Tien Dat  
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2012
European Conference on Computer Vision

We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a well-posed problem. Furthermore, this does not require any training data and eliminates the need to pre-align the reference shape with the one to be reconstructed, as was done in earlier methods.

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Type
conference paper not in proceedings
Author(s)
Östlund, Jonas Olof Martin  
Varol, Aydin  
Ngo, Tien Dat  
Fua, Pascal  
Date Issued

2012

Subjects

Deformable Surfaces

•

Computer Vision

•

Laplacian Meshes

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Event nameEvent placeEvent date
European Conference on Computer Vision

Florence

October 2012

Available on Infoscience
June 25, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/82391
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