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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 11 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»
15 years 11 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
16 years 7 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
15 years 6 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»
15 years 5 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