Methods cooperation for multiresolution motion estimation

Remy Leconge; Olivier Laligant; Frederic Truchetet; Alan Diou

doi:10.1117/1.1428740

1 February 2002 Methods cooperation for multiresolution motion estimation

Remy Leconge, Olivier Laligant, Frederic Truchetet, Alan Diou

Optical Engineering, Vol. 41, Issue 2, (February 2002). https://doi.org/10.1117/1.1428740

For a medical application, we are interested in an estimation of optical flow on a patient's face, particularly around the eyes. Among the methods of optical flow estimation, gradient estimation and block matching are the main methods. However, the gradient-based approach can only be applied for small displacements (one or two pixels). Generally, the process of block matching leads to good results only if the searching strategy is judiciously selected. Our approach is based on a Markov random field model, combined with an algorithm of block matching in a multiresolution scheme. The multiresolution approach allows detection of a large range of speeds. The large displacements are detected on coarse scales and small displacements are detected successively on finer scales in a coarse to fine strategy. The Markov random fields allow the initialization and control of motion estimation across all scales. The tracking of motion is achieved by a block matching algorithm. This method gives the optical flow, whatever the amplitude of motion is, if pertaining to the range defined by the multiresolution approach. The results clearly show the complement of Markov random field estimation and block matching across the scales.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Remy Leconge, Olivier Laligant, Frederic Truchetet, and Alan Diou "Methods cooperation for multiresolution motion estimation," Optical Engineering 41(2), (1 February 2002). https://doi.org/10.1117/1.1428740

Published: 1 February 2002

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