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ICML
2006
IEEE
16 years 7 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
SCIA
2005
Springer
15 years 11 months ago
A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision
One of the key requirements for a cognitive vision system to support reasoning is the possession of an effective mechanism to exploit context both for scene interpretation and for...
Josef Kittler, William J. Christmas, Alexey Kostin...
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
16 years 13 days ago
Using Robust Estimation for Visual Servoing Based on Dynamic Vision
— The aim of this article is to achieve accurate visual servoing tasks when the shape of the object being observed as well as the final image are unknown. More precisely, we wan...
Christophe Collewet, François Chaumette
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 11 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
CDC
2009
IEEE
142views Control Systems» more  CDC 2009»
15 years 10 months ago
Nonlinear attitude estimation using active vision and inertial measurements
Abstract— In this paper we consider the problem of estimating the attitude of a rigid body equipped with a triad of rate gyros and a pan and tilt camera. The nonlinear attitude o...
Sérgio Bras, Rita Cunha, José Fernan...