Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42110
Title: Second order variational optic flow estimation
Authors: Alvarez, L. 
Castaño, C. A.
García, M.
Krissian, K.
Mazorra, L. 
Salgado, Agustín
Sánchez, J. 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
Keywords: Particle Image
Velocimetry Energy Function
Motion Vector Regularization
Term Angular Error
Issue Date: 2007
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Computer Aided Systems Theory 
11th International Conference on Computer Aided Systems Theory, EUROCAST 2007 
Abstract: In this paper we present a variational approach to accurately estimate the motion vector field in a image sequence introducing a second order Taylor expansion of the flow in the energy function to be minimized. This feature allows us to simultaneously obtain, in addition, an estimation of the partial derivatives of the motion vector field. The performance of our approach is illustrated with the estimation of the displacement vector field on the well known Yosemite sequence and compared to other techniques from the state of the art.
URI: http://hdl.handle.net/10553/42110
ISBN: 9783540758662
ISSN: 0302-9743
DOI: 10.1007/978-3-540-75867-9_81
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 4739 LNCS, p. 646-653
URL: https://api.elsevier.com/content/abstract/scopus_id/38449101508
Appears in Collections:Actas de congresos
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