MRF Modeling for Optical Flow Computation from Multi-Structure Objects

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.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Véronique Prinet, Cyril Cassisa, FengFeng Tang
• Keywords: ICIP 2006, Image Processing, Local Motions, Markovian Random Field, Multi-structure Objects