144 search results - page 1 / 29 » A general framework for low level vision |
TIP
1998
13 years 4 months ago
1998
—We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented. We consider intensity images as surfaces in the (x; I...
ICCV
2009
IEEE
14 years 9 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, ...
SCALESPACE
1997
Springer
13 years 9 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...
MVA
1992
13 years 6 months ago
1992
In this work the Low Level Vision Unit (LLVU) of the Heterogeneous and Reconfigurable Machine for Image Analysis (HERMIA) is described. The LLVU consists of the innovative integra...
CVPR
2011
IEEE
13 years 1 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...