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» Estimating Vision Parameters given Data with Covariances
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ECCV
2004
Springer
15 years 3 months ago
Robust Fitting by Adaptive-Scale Residual Consensus
Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Hanzi Wang, David Suter
CVPR
2007
IEEE
15 years 11 months ago
Optimal Step Nonrigid ICP Algorithms for Surface Registration
We show how to extend the ICP framework to nonrigid registration, while retaining the convergence properties of the original algorithm. The resulting optimal step nonrigid ICP fra...
Brian Amberg, Sami Romdhani, Thomas Vetter
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ECCV
2000
Springer
15 years 11 months ago
A Six Point Solution for Structure and Motion
The paper has two main contributions: The rst is a set of methods for computing structure and motion for m 3 views of 6 points. It is shown that a geometric image error can be mini...
Frederik Schaffalitzky, Andrew Zisserman, Richard ...
CVPR
2009
IEEE
15 years 4 months ago
3D morphable face models revisited
In this paper we revisit the process of constructing a high resolution 3D morphable model of face shape variation. We demonstrate how the statistical tools of thin-plate splines a...
Ankur Patel, William A. P. Smith
DAGM
2007
Springer
15 years 3 months ago
Recursive Estimation with Implicit Constraints
Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. Howeve...
Richard Steffen, Christian Beder