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

Authors:
L. Alvarez;C. A. Castaño;M. García;K. Krissian;L. Mazorra;A. Salgado;J. Sánchez
Affiliations:
Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

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.