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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 9 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
CVPR
2003
IEEE
16 years 9 months ago
Fusing Online and Offline Information for Stable 3D Tracking in Real-Time
We propose an efficient online real-time solution for singlecamera 3?D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial oc...
Luca Vacchetti, Vincent Lepetit, Pascal Fua
CVPR
2005
IEEE
16 years 9 months ago
Randomized Trees for Real-Time Keypoint Recognition
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Vincent Lepetit, Pascal Lagger, Pascal Fua
CVPR
2006
IEEE
16 years 9 months ago
Real-Time Visual SLAM with Resilience to Erratic Motion
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual...
Mark Pupilli, Andrew Calway