16 search results - page 1 / 4 » Probabilistic Hypothesis Generation for Rapid 3D Object Reco... |
IWVF
2001
Springer
13 years 9 months ago
2001
Springer
TIP
2008
13 years 4 months ago
2008
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
IJCV
2000
13 years 4 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
DAGM
2005
Springer
13 years 10 months ago
2005
Springer
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...