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» Estimating Vision Parameters given Data with Covariances
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ICCV
2005
IEEE
15 years 11 months ago
Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences
For a large object, scanning from the air is one of the most efficient methods of obtaining 3D data. But in the case of large cultural heritage objects, there are some difficultie...
Atsuhiko Banno, Katsushi Ikeuchi
ICANN
2009
Springer
15 years 2 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
ICCV
1998
IEEE
15 years 2 months ago
Integrated Surface, Curve and Junction Inference from Sparse 3-D Data Sets
We areinterestedin descriptionsof 3-D data sets,as obtained from stereoor a 3-D digitizer. We thereforeconsideras inputa sparsesetof points, possibly associated with certain orien...
Chi-Keung Tang, Gérard G. Medioni
ICCV
2007
IEEE
15 years 11 months ago
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape
Strong lighting is common in natural scenes yet is often viewed as a nuisance for object pose estimation and tracking. In human shape and pose estimation, cast shadows can be conf...
Alexandru O. Balan, Michael J. Black, Horst W. Hau...
CVPR
2010
IEEE
15 years 6 months ago
An Object-Dependent Hand Pose Prior from Sparse Training Data
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a va...
Henning Hamer, Juergen Gall, Thibaut Weise, Luc Va...