Fluid flow estimation through integration of physical flow configurations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4713 LNCS, Issue , 2007, Pages 92-101

  Garbe, Christoph S ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DIGITAL CAMERAS; OPTICAL FLOWS;

MODELS BRIGHTNESS CHANGES; VELOCITY PROFILE;

FLOW OF FLUIDS;

EID: 38149059046     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74936-3_10     Document Type: Conference Paper

References (20)

1. Corpetti, T., Etienne, M., Perez, P.: Dense estimation of fluid flows. IEEE PAMI 24(3) (March 2002)
2. Ruhnau, P., Kohlberger, T., Nobach, H., Schnörr, C.: Variational optical flow estimation for particle image velocimetry. Exp. in Fluids 38, 21-32 (2005)
3. Ruhnau, P., Schnörr, C.: Optical stokes flow: An imaging based control approach. Exp. in Fluids 42, 61-78 (2007)
4. Taylor, J.A., Yeung, E.S.: Imaging of hydrodynamic and electrokinetic flow profiles in capillaries. Anal. Chem. 65(20), 2928-2932 (1993)
5. Kundu, P.K.: Fluid Mechanics. Academic Press, London (1990)
6. Haußecker, H., Spies, H.: Motion. In: Jähne, B., Haußecker, H., Geißler, P. (eds.) Handbook of Computer Vision and Applications, vol. 2, Academic Press, London (1999)
7. Garbe, C.S., Roetmann, K., Beushausen, V., Jahne, B.: An optical flow mtv based technique for measuring microfluidic flow in the presence of diffusion and taylor dispersion. Exp. in Fluids (accepted, 2007)
8. Taylor, G.: Conditions under which dispersion of a solute in a stream of solvent can be used to measure molecular diffusion. Proc. Royal Soc. London Ser. A 225, 473-477 (1954)
9. Negahdaripour, S., Yu, C.H.: A generalized brightness chane model for computing optical flow. In: ICCV, Berlin, pp. 2-7 (1993)
10. Zhang, D., Herbert, M.: Harmonic maps and their applications in surface matching. In: CVPR'99, June 1999, Fort Collins, Colorado (1999)
11. Haußecker, H., Garbe, C., Spies, H., Jahne, B.: A total least squares framework for low-level analysis of dynamic scenes and processes. In: DAGM, Bonn, Germany, pp. 240-249. Springer, Heidelberg (1999)
12. Haußecker, H., Fleet, D.J.: Computing optical flow with physical models of brightness variation. IEEE PAMI 23(6), 661-673 (2001)
13. Bigün, J., Granlund, G.H., Wiklund, J.: Multidimensional orientation estimation with application to texture analysis and optical flow. IEEE PAMI 13(8), 775-790 (1991)
14. Garbe, C.S., Spies, H., Jähne, B.: Estimation of surface flow and net heat flux from infrared image sequences. J. of Math. Im. and Vis. 19(3), 159-174 (2003)
15. Garbe, C.S., Jahne, B.: Reliable estimates of the sea surface heat flux from image sequences. In: Radig, B., Florczyk, S. (eds.) Pattern Recognition. LNCS, vol. 2191, pp. 194-201. Springer, Heidelberg (2001)
16. Garbe, C.S., Spies, H., Jähne, B.: Mixed ols-tls for the estimation of dynamic processes with a linear source term. In: Van Gool, L. (ed.) Pattern Recognition. LNCS, vol. 2449, pp. 463-471. Springer, Heidelberg (2002)
17. Van Huffel, S., Vandewalle, J.: The Total Least Squares Problem: Computational Aspects and Analysis. In: SIAM, Philadelphia (1991)
18. Roetmann, K., Schmunk, W., Garbe, C.S., Beushausen, V.: Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering. Exp. in Fluids (accepted, 2007)
19. Garbe, C.S., Degreif, K., Jähne, B.: Estimating the viscous shear stress at the water surface from active thermography. In: Garbe, C.S., Handler, R.A., Jähne, B. (eds.) Transport at the Air Sea Interface, pp. 223-239 (2007)
20. Garbe, C.S., Pieruschka, R., Schurr, U.: Thermographic measurements of xylem flow in plant leaves. New Phytologist (in preparation) (2007)