Abstract | ||
---|---|---|
Estimation of optical flow and physically motivated brightness changes can be formulated as parameter estimation in linear
models. Accuracy of this estimation heavily depends on the filter families used to implement the models. In this paper we
focus on models whose terms are all data dependent and therefore are best estimated via total-least-squares (TLS) or similar
estimators. Using three different linear models we derive model dependent optimality criteria based on transfer functions of filter families with given fixed size. Using a simple optimization procedure,
we demonstrate typical properties of optimal filter sets for optical flow, simultaneous estimation of optical flow and diffusion,
as well as optical flow and exponential decay. Exemplarily we show their performance and state some useful choices.
|
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/978-3-540-69866-1_2 | International Workshop on Complex Motion |
Keywords | Field | DocType |
simultaneous estimation,model dependent optimality criterion,parameter estimation,optimal filter set,brightness change,exponential decay,different linear model,optical flow,linear model,extended optical flow,filter family,transfer function | Applied mathematics,Mathematical optimization,Weight function,Linear model,Exponential decay,Transfer function,Motion estimation,Estimation theory,Optical flow,Mathematics,Estimator | Conference |
Volume | ISSN | Citations |
3417 | 0302-9743 | 16 |
PageRank | References | Authors |
1.06 | 11 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hanno Scharr | 1 | 430 | 37.92 |