3D Motion estimation using a combination of correlation and variational methods for PIV

Título:	3D Motion estimation using a combination of correlation and variational methods for PIV
Autores/as:	Alvarez, L. Castaño, C. A. García, M. Krissian, K. Mazorra, L. Salgado, A. Sánchez, J.
Clasificación UNESCO:	120601 Construcción de algoritmos 120602 Ecuaciones diferenciales 120326 Simulación 220990 Tratamiento digital. Imágenes
Palabras clave:	Optical-Flow Computation
Fecha de publicación:	2007
Editor/a:	0302-9743
Publicación seriada:	Lecture Notes in Computer Science
Conferencia:	11th International Conference on Computer Aided Systems Theory 11th International Conference on Computer Aided Systems Theory, EUROCAST 2007
Resumen:	Estimation of motion has many applications in fluid analysis. Lots of work has been carried out using Particle Image Velocimetry to design experiments which capture and measure the flow motion using 2D images. Recent technological advances allow capturing 3D PIV image sequences of moving particles. In this context, we propose a 3D motion estimation technique based on the combination of an iterative cross-correlation technique and a variational (energy-based) technique. The performance of the proposed technique is measured and illustrated using numerical simulations.
URI:	http://hdl.handle.net/10553/54445
ISBN:	9783540758662
ISSN:	0302-9743
Fuente:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 4739 LNCS, p. 612-620
Colección:	Actas de congresos

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