2507 search results - page 2 / 502 » Learning Low-Level Vision |
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Guiding image segmentation with edge information is an often employed strategy in low level computer vision. To improve the trade-off between the sensitivity of homogeneous region...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
CAMP
2005
IEEE
13 years 11 months ago
2005
IEEE
Abstract— Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all senso...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
SCALESPACE
1997
Springer
13 years 10 months ago
1997
Springer
A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a 2D surf...