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ECCV
2006
Springer
14 years 10 months ago
Geometry and Kinematics with Uncertain Data
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...
Christian Perwass, Christian Gebken, Gerald Sommer
CVPR
1999
IEEE
14 years 11 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer
ECCV
2010
Springer
14 years 1 months ago
 5D Motion Subspaces for Planar Motions
In practice, rigid objects often move on a plane. The object then rotates around a fixed axis and translates in a plane orthogonal to this axis. For a concrete example, think of a ...
Roland Angst, Marc Pollefeys
IROS
2006
IEEE
171views Robotics» more  IROS 2006»
14 years 2 months ago
Fast central catadioptric line extraction, estimation, tracking and structure from motion
— In this paper we present an analysis of 3D line projections for central catadioptric cameras from a projective perspective. Most algorithms consider the projection of lines as ...
Christopher Mei, Ezio Malis
CVPR
2004
IEEE
14 years 18 days ago
Motion Without Correspondence from Tomographic Projections by Bayesian Inversion Theory
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Sami S. Brandt, Ville Kolehmainen