Optical flow modeling and computation: a survey

Abstract : Optical flow estimation is one of the oldest and still most active research domains in computer vision. In 35 years, many methodological concepts have been introduced and have progressively improved performances, while opening the way to new challenges. In the last decade, the growing interest in evaluation benchmarks has stimulated a great amount of work. In this paper, we propose a survey of optical flow estimation classifying the main principles elaborated during this evolution, with a particular concern given to recent developments. It is conceived as a tutorial organizing in a comprehensive framework current approaches and practices. We give insights on the motivations, interests and limitations of modeling and optimization techniques, and we highlight similarities between methods to allow for a clear understanding of their behavior.
Type de document :
Article dans une revue
Computer Vision and Image Understanding, Elsevier, 2015, 134, pp.21. 〈http://www.sciencedirect.com/science/article/pii/S1077314215000429〉
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Contributeur : Denis Fortun <>
Soumis le : samedi 19 décembre 2015 - 15:43:39
Dernière modification le : mercredi 11 avril 2018 - 01:50:52
Document(s) archivé(s) le : samedi 29 avril 2017 - 22:37:04


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  • HAL Id : hal-01104081, version 2



Denis Fortun, Patrick Bouthemy, Charles Kervrann. Optical flow modeling and computation: a survey. Computer Vision and Image Understanding, Elsevier, 2015, 134, pp.21. 〈http://www.sciencedirect.com/science/article/pii/S1077314215000429〉. 〈hal-01104081v2〉



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