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SIAMIS
2010
167views more  SIAMIS 2010»
14 years 10 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
ICPR
2000
IEEE
15 years 7 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
TROB
2008
228views more  TROB 2008»
15 years 3 months ago
Large-Scale 6-DOF SLAM With Stereo-in-Hand
In this paper, we describe a system that can carry4 out simultaneous localization and mapping (SLAM) in large in-5 door and outdoor environments using a stereo pair moving with 66 ...
Lina María Paz, Pedro Pinies, Juan D. Tard&...
ICCV
2007
IEEE
16 years 6 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 7 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge