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CVPR
2008
IEEE
16 years 1 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua
MICCAI
2005
Springer
16 years 22 days ago
Finite Element Modeling of Brain Tumor Mass-Effect from 3D Medical Images
Motivated by the need for methods to aid the deformable registration of brain tumor images, we present a three-dimensional (3D) mechanical model for simulating large non-linear def...
Ashraf Mohamed, Christos Davatzikos
GRAPP
2007
15 years 1 months ago
Fitting 3D morphable models using implicit representations
We consider the problem of approximating the 3D scan of a real object through an affine combination of examples. Common approaches depend either on the explicit estimation of poi...
Curzio Basso, Alessandro Verri
CGI
2001
IEEE
15 years 3 months ago
A Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of...
James Sinnott, Toby Howard
CVPR
2007
IEEE
16 years 1 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter