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» Recursive Estimation with Implicit Constraints
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DAGM
2007
Springer
13 years 11 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
ICIP
2000
IEEE
14 years 6 months ago
Motion Estimation with Incomplete Information Using Omni-Directional Vision
We present a new motion estimation framework and apply it to omni-directional imagery. Our method estimates motions incrementally using an Implicit Extended Kalman Filter (IEKF). ...
Jong Weon Lee, Ulrich Neumann
CVPR
1999
IEEE
14 years 6 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ECCV
2006
Springer
13 years 8 months ago
Recursive Structure from Motion Using Hybrid Matching Constraints with Error Feedback
Abstract. We propose an algorithm for recursive estimation of structure and motion in rigid body perspective dynamic systems, based on the novel concept of continuous-differential ...
Fredrik Nyberg, Anders Heyden
TSP
2010
12 years 11 months ago
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
Stefan Uhlich, Bin Yang