698 search results - page 101 / 140 » Recovering Spheres from 3D Point Data |
98
Voted
ECCV
2006
Springer
16 years 2 months ago
2006
Springer
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...
CVPR
1999
IEEE
16 years 2 months ago
1999
IEEE
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...
123
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
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 ...
109
Voted
IROS
2006
IEEE
15 years 6 months ago
2006
IEEE
— 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 ...
100
Voted
CVPR
2004
IEEE
15 years 4 months ago
2004
IEEE
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...