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» Variational Bayesian image modelling
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NIPS
1998
15 years 4 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
ICIP
2007
IEEE
16 years 5 months ago
Isomap Tracking with Particle Filtering
The problem of tracking involves challenges like in-plane and out-of-plane rotations, scaling, variations in ambient light and occlusions. In this paper we look at the problem of ...
Nikhil Rane, Stanley T. Birchfield
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 1 months ago
Photometry-based visual servoing using light reflexion models
Abstract-- We present in this paper a way to achieve positioning tasks by visual servoing under complex luminance variations. To do that, we use as visual features the luminance of...
Christophe Collewet, Éric Marchand
PRL
2007
145views more  PRL 2007»
15 years 2 months ago
Multiple color texture map fusion for 3D models
A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and a...
Nobuyuki Bannai, Robert B. Fisher, Alexander Agath...
ISBI
2004
IEEE
16 years 4 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