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Journal of Zhejiang University SCIENCE A 2001 Vol.2 No.1 P.46-50

http://doi.org/10.1631/jzus.2001.0046


A MODEL BASED ALGORITHM FOR FAST DPIV COMPUTING


Author(s):  CHEN Tian-ding, LI Hong-dong, LIU Ji-lin, GU Wei-kang

Affiliation(s):  Department of Information and Electronics Engineering,Zhejiang University,Hangzhou 310027,China

Corresponding email(s): 

Key Words:  IAFM, flow visualization, optical flow, computer vision, DPIV


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CHEN Tian-ding, LI Hong-dong, LIU Ji-lin, GU Wei-kang. A MODEL BASED ALGORITHM FOR FAST DPIV COMPUTING[J]. Journal of Zhejiang University Science A, 2001, 2(1): 46-50.

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Abstract: 
Traditional DPIV (Digital Particle Image Velocimetry) methods are mostly based on area-correlation (Willert,C.E.,1991). Though proven to be very time-consuming and very much error prone, they are widely adopted because of they are conceptually simple and easily implemented, and also because there are few alternatives. This paper proposes a non-correlation, conceptually new, fast and efficient approach for DPIV, which takes the nature of flow into consideration. An Incompressible Affined Flow Model (IAFM) is introduced to describe a flow that incorporates rational restraints into the computation. This IAFM, combined with a modified optical flow method-named Total optical flow Computation (TOFC), provides a linear system solution to DPIV. Experimental results on real images showed our method to be a very promising approach for DPIV.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] A.Verri.,T.Poggio.,1989.Motion field and optical flow:Qualitative properties,IEEE Trans PAMI.11:490-498.

[2] Ford,R,M.,Strickland,R,N.,1995.Representing and visualizing fluid flow images and velocimetry data by nonlinear dynamical system, GMIP. 57(6):462-482.

[3] Fujita,I.,Kaizu,T.,1995.Correction method of erroneous vectors in PIV,Journal of Flow.Vis & Image Proc. 2:173-185.

[4] Fuyuki,M.,Hanatani,K.,Kiruma,M.,Koyana,H.,1995.Capabilities of small computer as image analyzers for quantitative flow visualization,Journal of Flow.Vis & Image Proc. 2:187-194.

[5] Helman,J.,1989.Representation and display of vector field topology in fluid data sets,IEEE Trans on Computer. 22(8):112-118.

[6] Horn,B,K,P.,1986.Robot Vision.MIT Press,Massachusetts.

[7] Kaga,A.,Inoue,Y.,Yamaguchi,K.,1993.Pattern tracking algorithm using successive abandonment,Journal of Flow Vis.& Image Proc. 1:253-260.

[8] Kawashima,G.,Ohue,H.,Wen-Jei,Yang.,1995.Development of cold thermal plumes induced by a rotating cold surface,Journal of Flow Vis.& Image Proc. 2:335-342.

[9] Kimura,I.,Ykino.,Ogava,M.,1993.Application of neural network to quantitative flow visualization,Journal of Flow.Vis & Image Proc. 1:261-269.

[10] Nogawa,H.,Makajima,Y.,Sato,Y.,1997.Acquisition of symbolic description from flow field: A new approach based on a fluid model,IEEE Trans-PAMI-19.

[11] Ohba,K.,Ishiharg,T.,Tawk,H.,1993.Model based velocity estimation using the Kalman filter,Journal of Flow Vis.& Image Proc. 1:253-260.

[12] Ohba,K.,Ishiarg,T.,Tawk,H.,1995.High-speed observations of highly erosive vortex cavitations using image processing,Journal of Flow.Vis & Image Proc. 2:161-172.

[13] Rao,A,R.,Jain,R.,1992.Computerized flow field analysis: Oriented texture fields,IEEE Tran PAMI 14(7):583-589.

[14] Shu,C.,Jain,R.,1993.Direct estimation and error analysis for oriented patterns,CVGIP:IU-58,383-398.

[15] Willert,C,E.,1991.Digital particle image velocimetry,Exp.Fluids. 10:181-193.

[16] Yamamoto,F.,Wada,A.,Iguchi,M.,et al.,1996.Discussions of the cross correlation method for PIV,Journal of Flow.Vis & Image Proc. 3:65-78.

[17] Zhang,J.,Huang,T,S.,Adrian,R,J.,1994.Salient structure analysis of fluid flow,CVPR '94,310-315.

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