44 search results - page 1 / 9 » A learning-based framework for depth ordering |
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
ICANNGA
2007
Springer
13 years 6 months ago
2007
Springer
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
DEXA
1998
Springer
13 years 9 months ago
1998
Springer
This paper presents a framework for a learning based approach to dynamically evolve the conceptual structure of a database in order to facilitate virtual representation of data in ...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Second-order priors on the smoothness of 3D surfaces are a better model of typical scenes than first-order priors. However, stereo reconstruction using global inference algorithm...