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» Surface Reconstruction using Learned Shape Models
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CAGD
2008
109views more  CAGD 2008»
13 years 9 months ago
Detail preserving deformation of B-spline surfaces with volume constraint
Geometric constraints have proved to be helpful for shape modeling. Moreover, they are efficient aids in controlling deformations and enhancing animation realism. The present pape...
Basile Sauvage, Stefanie Hahmann, Georges-Pierre B...
ECCV
2008
Springer
14 years 11 months ago
The Naked Truth: Estimating Body Shape Under Clothing
We propose a method to estimate the detailed 3D shape of a person from images of that person wearing clothing. The approach exploits a model of human body shapes that is learned fr...
Alexandru O. Balan, Michael J. Black
ICIP
1999
IEEE
14 years 10 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
ECCV
2008
Springer
14 years 11 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
DAGM
2007
Springer
14 years 29 days ago
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination
Abstract In this paper we extend a multi-camera model for simultaneous estimation of 3d position, normals, and 3d motion of surface patches [17] to be able to handle brightness cha...
Tobias Schuchert, Hanno Scharr