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.
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Alvarez, L. et al. (2007). 3D Motion Estimation Using a Combination of Correlation and Variational Methods for PIV. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_77
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DOI: https://doi.org/10.1007/978-3-540-75867-9_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75866-2
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