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PAMI
2012
13 years 13 days ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos
CVPR
1996
IEEE
16 years 4 hour ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
CVPR
1999
IEEE
16 years 4 hour ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
CVPR
2007
IEEE
16 years 4 hour ago
Evaluation of Cost Functions for Stereo Matching
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with ...
Daniel Scharstein, Heiko Hirschmüller
ICCV
2005
IEEE
15 years 12 months ago
A Robust Algorithm for Point Set Registration Using Mixture of Gaussians
This paper proposes a novel and robust approach to the point set registration problem in the presence of large amounts of noise and outliers. Each of the point sets is represented...
Bing Jian, Baba C. Vemuri