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AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

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Presentation on theme: "AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans."— Presentation transcript:

1 AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans

2 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting2 Contents AMI group short presentation Activities in WP2 and future plans Activities in WP3 and future plans Activities in WP4 and future plans Project risk analysis

3 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting3 AMI group people Aleman Miguel (Permanent position at ULPGC) Alvarez Luis (Permanent position at ULPGC) Castaño Carlos (Engineer, financed by FLUID project since october 1, 2005) García Miguel (Engineer, financed by FLUID project since november 1, 2005) González Esther (Permanent position at ULPGC) Krissian Karl (PostDoc position, financed by FLUID project since december, 2005 Mazorra Luis (Permanent position at ULPGC) Salgado Agustín (University grant holder, financed by the ULPGC) Sánchez Javier (Permanent position at ULPGC)

4 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting4 AMI group background Mathematical Analysis Multiscale Analysis Partial differential equations Nonlinear filtering Optic flow estimation techniques Shape Analysis 3D geometry reconstruction from 2 or multiple views No previous experience in fluid image sequence

5 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting5 WP 2: Physical models and early image processing. Activities Analysis of optic flow estimation techniques Multiscale approach using structure tensor information at different scales PDE based approach Correlation methods Report 1: Optic flow estimation in fluid images I Report 2: A Methodology to Compare Optic Flow Estimation methods

6 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting6 WP 2: Physical models and early image processing. Future plans To continuous to work on 2D multiscale analysis To combine correlation based sparse methods and dense variational approach

7 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting7 WP 3: 2D Fluid motion analysis. Activities (Questions) Fluid mechanics evolution models. PDE equations ? –Navier-Stokes ? Parameters? –Vorticity equation ? –Pressure equation ? –Coriolis force ? –Hodge decomposition ? –Can we hope (by adding constraints) to solve PDE fluid mechanics evolution models in a 3D neighbourhood of a 2D layer where we have a motion estimation ?

8 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting8 WP 3: 2D Fluid motion analysis. Vortex models I Fluid mechanics evolution models. Vortex models

9 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting9 WP 3: 2D Fluid motion analysis. Vortex models II Fluid mechanics evolution models. Vortex models

10 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting10 WP 4: 3D Fluid motion estimation. Satellite sequences (layer segmentation) Compute 2D flow estimation. Transform of flow information from pixels to physical measures (motion in Km) Compute the height of each point using infrared temperature intensity value. Compute a segmentation of the infrared temperature channel Implementation of a 3D visualization tool for the layers Tracking regions using a motion model A robust tracking method could deal with layer occlusions.

11 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting11 WP 4: 3D Fluid motion estimation. PIV stereoscopic motion estimation Calibration. Alignment between the light sheet and the calibration plate PIV 3D motion estimation using 2 or multiple views.

12 December 2005FLUID Specific Targeted Research Project - Las Palmas Meeting12 Project risk analysis We need to design tractable applied physical models. The interplay between 2D image measurements and 3D dynamical system is perhaps too complex. We need to design a multi-layer coupling model (too complex). Computer vision groups of the project need to strongly interact with the other partners. We need to define clearly a way to share results and a validation strategy. We need to identify specific tasks in the project where different partners work together. We need to convince Bruxelles people that everything is fine.


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