MRF Modeling for Optical Flow Computation From Multistructure Objects

Abstract : We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions ofmulti-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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Communication dans un congrès
IEEE International Conference on Image Processing (ICIP), Oct 2006, Atlanta/USA, IEEE, pp.1093-1096, 2006, International Conference on Image Processing (ICIP 2006),Atlanta, GA, Oct 08-11, 2006, IEEE
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Veronique Prinet, C. Cassisa, F.F. Tang. MRF Modeling for Optical Flow Computation From Multistructure Objects. IEEE International Conference on Image Processing (ICIP), Oct 2006, Atlanta/USA, IEEE, pp.1093-1096, 2006, International Conference on Image Processing (ICIP 2006),Atlanta, GA, Oct 08-11, 2006, IEEE. 〈inria-00124141〉

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