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» Bayesian Tracking of Elongated Structures in 3D Images
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3DIM
2005
IEEE
15 years 1 months ago
Bayesian Modelling of Camera Calibration and Reconstruction
Camera calibration methods, whether implicit or explicit, are a critical part of most 3D vision systems. These methods involve estimation of a model for the camera that produced t...
Rashmi Sundareswara, Paul R. Schrater
IVC
2007
187views more  IVC 2007»
14 years 11 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
CVPR
2012
IEEE
13 years 5 months ago
Branch-and-price global optimization for multi-view multi-object tracking
We present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past, we tackle the problem as a single...
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
15 years 6 months ago
Camera self-calibration for sequential Bayesian structure from motion
— Computer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera’s internal parameters from an image sequence without any know...
Javier Civera, Diana R. Bueno, Andrew J. Davison, ...
ICCV
2007
IEEE
15 years 6 months ago
Curvature Estimation for Enhancement of Crossing Curves
In this paper we describe a method for estimating curvature of elongated structures in images. The curvature estimation is performed on an invertible orientation score, which is a...
Erik Franken, Remco Duits, Bart M. ter Haar Romeny