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» Image segmentation with patch-pair density priors
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ICANN
2009
Springer
13 years 10 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
IPMI
2003
Springer
13 years 11 months ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
ICIP
2003
IEEE
14 years 7 months ago
Road network extraction in remote sensing by a Markov object process
In this paper, we rely on the theory of marked point processes to perform an unsupervised road network extraction from optical and radar images. A road network is modeled by a Mar...
Caroline Lacoste, Xavier Descombes, Josiane Zerubi...
3DOR
2008
13 years 8 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
CVPR
2003
IEEE
14 years 7 months ago
A Bayesian Approach to Image-Based Visual Hull Reconstruction
We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously obs...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...