Title
Optimal Filters for Extended Optical Flow
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 Scharr143037.92