AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the...

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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

Transcript of AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the...

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

AMI GROUP

University of Las Palmas de Gran Canaria

FLUID European ProjectActivity report of the first year and futur plans

Page 2: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 2

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

Page 3: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 3

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)

Page 4: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 4

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

Page 5: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 5

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

Page 6: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 6

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

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i1

N

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Page 7: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 7

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 ?

Page 8: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 8

WP 3: 2D Fluid motion analysis. Vortex models I

• Fluid mechanics evolution models. Vortex models

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ft,r a1 er2

4 t r2

ft, r a if r RaR2

r2if r R

Page 9: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 9

WP 3: 2D Fluid motion analysis. Vortex models II

• Fluid mechanics evolution models. Vortex models

u z

r2x

v z

r2y

w rr

u 2Aa2zx

v 2Aa2zy

w 2A 1 2r2 z2

a2

r,z Ar2 1 r2 z2

a2

Page 10: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 10

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.

Page 11: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 11

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.

Page 12: AMI GROUP University of Las Palmas de Gran Canaria FLUID European Project Activity report of the first year and futur plans.

December 2005

FLUID Specific Targeted Research Project - Las Palmas Meeting 12

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.