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» Interval Computations in Computer Vision
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CVPR
2007
IEEE
16 years 8 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
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...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
CVPR
2008
IEEE
16 years 8 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ACIVS
2007
Springer
16 years 26 days ago
A Framework for Scalable Vision-Only Navigation
This paper presents a monocular vision framework enabling feature-oriented appearance-based navigation in large outdoor environments containing other moving objects. The framework ...
Sinisa Segvic, Anthony Remazeilles, Albert Diosi, ...
ICCV
2009
IEEE
1188views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Actionable Information in Vision
I propose a notion of visual information as the complexity not of the raw images, but of the images after the effects of nuisance factors such as viewpoint and illumination are dis...
Stefano Soatto
CVPR
2001
IEEE
16 years 8 months ago
3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain
Work in simultaneous localisation and map-building ("SLAM") for mobile robots has focused on the simplified case in which a robot is considered to move in two dimensions...
Andrew J. Davison, Nobuyuki Kita