A phase-based approach to the estimation of the optical flow field using spatial filtering
T Gautama, MA Van Hulle - IEEE transactions on neural …, 2002 - ieeexplore.ieee.org
We introduce a new technique for estimating the optical flow field, starting from image
sequences. As suggested by Fleet and Jepson (1990), we track contours of constant phase …
sequences. As suggested by Fleet and Jepson (1990), we track contours of constant phase …
Development of a precipitation nowcasting algorithm based upon optical flow techniques
NEH Bowler, CE Pierce, A Seed - Journal of Hydrology, 2004 - Elsevier
A new advection-based nowcasting scheme for precipitation has been developed for the
Gandolf system. The method employed removes the need to split the radar analysis into …
Gandolf system. The method employed removes the need to split the radar analysis into …
Fast and accurate motion estimation using orientation tensors and parametric motion models
G Farneback - … Conference on Pattern Recognition. ICPR-2000, 2000 - ieeexplore.ieee.org
Motion estimation in image sequences is an important step in many computer vision and
image processing applications. Several methods for solving this problem have been …
image processing applications. Several methods for solving this problem have been …
Very high accuracy velocity estimation using orientation tensors, parametric motion, and simultaneous segmentation of the motion field
G Farneback - … Conference on Computer Vision. ICCV 2001, 2001 - ieeexplore.ieee.org
In a previous paper, the author presented a new velocity estimation algorithm, using
orientation tensors and parametric motion models to provide both fast and accurate results …
orientation tensors and parametric motion models to provide both fast and accurate results …
Hierarchical estimation and segmentation of dense motion fields
In this paper we present a comprehensive energy-based framework for the estimation and
the segmentation of the apparent motion in image sequences. The robust cost functions and …
the segmentation of the apparent motion in image sequences. The robust cost functions and …
Robust adaptive-scale parametric model estimation for computer vision
Robust model fitting essentially requires the application of two estimators. The first is an
estimator for the values of the model parameters. The second is an estimator for the scale of …
estimator for the values of the model parameters. The second is an estimator for the scale of …
[PDF][PDF] Orientation Correlation.
A new method of translational image registration is presented: orientation correlation. The
method is fast, exhaustive, statistically robust, and illumination invariant. No existing method …
method is fast, exhaustive, statistically robust, and illumination invariant. No existing method …
Fast robust correlation
AJ Fitch, A Kadyrov, WJ Christmas… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
A new, fast, statistically robust, exhaustive, translational image-matching technique is
presented: fast robust correlation. Existing methods are either slow or non-robust, or rely on …
presented: fast robust correlation. Existing methods are either slow or non-robust, or rely on …
Robustly estimating changes in image appearance
We propose a generalized model of image “appearance change” in which brightness
variation over time is represented as a probabilistic mixture of different causes. We define …
variation over time is represented as a probabilistic mixture of different causes. We define …
[图书][B] A survey on variational optic flow methods for small displacements
2 Institute of Mathematics, University of Lübeck, Wallstraße 40, 23560 Lübeck, Germany,
papenber@ math. uni-luebeck. de Summary Optic flow describes the displacement field in …
papenber@ math. uni-luebeck. de Summary Optic flow describes the displacement field in …