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» Variational image segmentation using boundary functions
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CVGIP
2000
124views more  CVGIP 2000»
13 years 9 months ago
Hierarchical Solutions for the Deformable Surface Problem in Visualization
In this paper we present a hierarchical approach for the deformable surface technique. This technique is a three dimensional extension of the snake segmentation method. We use it ...
Christoph Lürig, Leif Kobbelt, Thomas Ertl
CVPR
2006
IEEE
14 years 11 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ISBI
2004
IEEE
14 years 10 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
CVPR
1998
IEEE
14 years 11 months ago
Histogram Model for 3D Textures
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
Kristin J. Dana, Shree K. Nayar
CVPR
2008
IEEE
14 years 11 months ago
Fast texture segmentation model based on the shape operator and active contour
We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precis...
Nawal Houhou, Jean-Philippe Thiran, Xavier Bresson