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Technical Program
Paper Detail
| Paper: | MP-P8.11 |
| Session: | Motion Detection and Estimation |
| Time: | Monday, October 9, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
MRF MODELING FOR OPTICAL FLOW COMPUTATION FROM MULTI-STRUCTURE OBJECTS |
| Authors: |
Veronique Prinet; Chinese Academy of Sciences | | | | | Cyril Cassisa; Chinese Academy of Sciences | | | | | FengFeng Tang; Chinese Academy of Sciences | | |
| Abstract: |
We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees and leaves, ...). The displacement fields are computed using a Markovian Random Field (MRF) model. Local and global components of the vector flow are both explicitly retrieved. The minimization of the Gibbs energy is achieved with a down-scaling approach, in which we first analyze the motion of the compact object, the sub-structures'movement being retrieved in a second stage. We validate and demonstrate the efficiency of our approach on synthetic and real images for various applications. |
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