130 search results - page 8 / 26 » Virtual Training for Multi-View Object Class Recognition |
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
CLOR
2006
13 years 11 months ago
2006
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...