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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
14 years 2 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
CVPR
2005
IEEE
14 years 9 months ago
A Hybrid Graphical Model for Robust Feature Extraction from Video
We consider a visual scene analysis scenario where objects (e.g. people, cars) pass through the viewing field of a static camera and need to be detected and segmented from the bac...
Ali Taylan Cemgil, Wojciech Zajdel, Ben J. A. Kr&o...
BMVC
1998
13 years 9 months ago
3D Shape Modelling through a Constrained Estimation of a Bicubic B-spline Surface
This paper presents a new method to extract the 3D shape of objects from 3D gray level images using a bicubic B-spline surface model. Extraction of object shape is achieved throug...
Xinquan Shen, Michael Spann
IAJIT
2008
118views more  IAJIT 2008»
13 years 7 months ago
Integration of the Association Ends within UML State Diagrams
: UML currently still lacks a rigorously defined semantics for its models, which makes formally analyzing a model and verifying its properties extremely difficult. To remedy that, ...
Thouraya Bouabana-Tebibel, Mounira Belmesk