Bayesian estimation of turbulent motion

Based on physical laws describing the multiscale structure of turbulent flows, this paper proposes a regularizer for fluid motion estimation from an image sequence. Regularization is achieved by imposing some scale invariance property between histograms of motion increments computed at different sca...

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Detalles Bibliográficos
Autores principales: Heás, P., Herzet, C., Meḿin, E., Heitz, D., Mininni, P.D.
Formato: JOUR
Materias:
Bayesian model selection
Constrained optimization
Optic flow
Robust estimation
Turbulence
Bayesian perspective
Fluid flow estimation
Fluid motion estimation
Multi-scale structures
Scale-invariance property
Bayesian networks
Computer vision
Estimation
Flow of fluids
Models
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01628828_v35_n6_p1343_Heas
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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