Stochastic models for DIV-CURL optical flow methods

We consider Suter's (see Proc. CVPR94, Seattle, p.939-948, 1994) DIV-CURL optical flow methods, wherein the problem of computing a velocity field from an image sequence is regularized using smoothness conditions based on the divergence and curl of the field. In particular, we develop stochastic...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 3; no. 2; pp. 32 - 34
Main Authors Gupta, S.N., Prince, J.L.
Format Journal Article
LanguageEnglish
Published IEEE 01.02.1996
Subjects
Brightness
Differential equations
Image motion analysis
Image sequences
Integrated circuit modeling
Optical computing
Smoothing methods
State-space methods
Stochastic processes
Vectors
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Summary:We consider Suter's (see Proc. CVPR94, Seattle, p.939-948, 1994) DIV-CURL optical flow methods, wherein the problem of computing a velocity field from an image sequence is regularized using smoothness conditions based on the divergence and curl of the field. In particular, we develop stochastic formulations of DIV-CURL splines using the linear smoothing theory of Adams, Willsky, and Levy. Our models are shown to be well posed and thus can be used in both simulating and estimating velocity fields having known stochastic properties. As a special case, our stochastic model reduces to that developed by Rougee, Levy, and Willsky (1984) for the classical Horn and Schunck's (1981) optical flow.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/97.484208