Authors:
Javier Sánchez
;
Agustín Salgado
and
Nelson Monzón
Affiliation:
University of Las Palmas de Gran Canaria, Spain
Keyword(s):
Optical Flow, Variational Methods, PDE, Temporal Coherence.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Registration
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Stereo Vision and Structure from Motion
Abstract:
In this work we propose a new variational model for the consistent estimation of motion fields. The aim of this work is to develop appropriate spatio-temporal coherence models. In this sense, we propose two main contributions: a nonlinear flow constancy assumption, similar in spirit to the nonlinear brightness constancy assumption, which conveniently relates flow fields at different time instants; and a nonlinear temporal regularization scheme, which complements the spatial regularization and can cope with piecewise continuous motion fields. These contributions pose a congruent variational model since all the energy terms, except the spatial regularization, are based on nonlinear warpings of the flow field. This model is more general than its spatial counterpart, provides more accurate solutions and preserves the continuity of optical flows in time. In the experimental results, we show that the method attains better results and, in particular, it considerably improves the accuracy in
the presence of large displacements.
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