145 search results - page 2 / 29 » Synergism in Low Level Vision |
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
2007
IEEE
14 years 7 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
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...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
ICCV
1999
IEEE
13 years 9 months ago
1999
IEEE
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...