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CVPR
2008
IEEE
16 years 6 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 5 months 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 5 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 7 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 6 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