Motion estimation with Markov random fields by using a direct algorithm

Moustapha Kardouchi; Albert Dipanda; Louis Legrand

doi:10.1117/12.281271

19 August 1997 Motion estimation with Markov random fields by using a direct algorithm

Moustapha Kardouchi, Albert Dipanda, Louis Legrand

Proceedings Volume 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II; (1997) https://doi.org/10.1117/12.281271
Event: Lasers and Optics in Manufacturing III, 1997, Munich, Germany

Abstract

This paper presents a fast approach to the problem of velocity field estimation with Markov random fields. First, we propose to estimate the unknown velocity field by using a joint Markov random field through a convex markovian model which is called the energy function. Secondly, the estimated velocity field is determined explicitly by calculating the minimum of this energy function. The result obtained are compared in terms of CPU time and estimation quality to those obtained with the ICM.

Citation Download Citation

Moustapha Kardouchi, Albert Dipanda, and Louis Legrand "Motion estimation with Markov random fields by using a direct algorithm", Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); https://doi.org/10.1117/12.281271

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available