Non-rigid Motion without Relying on Local Features: a Surface Model Applied to Vortex Tracking

Abstract : Motion study in computer vision highly depends on the type of imagery and on the kind of the studied objects. A popular approach of non-rigid motion supposes that the objects are continuously and locally deformed. Local features, such as curvature extrema, are then often used. However, these features can not always be accurately computed, and motion may involve large deformation of the object between two consecutive temporal occurrences. In these cases, there is a real need for an approach that does not rely on local features. That study of motion requires additional information. We introduce a geometrical evolution model that enables to generate a surface interpolating the two successive contours of the object during its temporal evolution. This geometrical model may be viewed as a simplification of the true physical model of motion. This approach is particulary well suited to remote sensed data: structures of interest do not have a well defined shape, and the temporal resolution may be poor, involving large deformation. We successfully apply our model to vortex tracking on sea color images and on meteorologic images.
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Rapport
[Research Report] RR-2684, INRIA. 1995
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https://hal.inria.fr/inria-00074007
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Dernière modification le : vendredi 25 mai 2018 - 12:02:05
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Jean-Paul Berroir, Isabelle Herlin, Isaac Cohen. Non-rigid Motion without Relying on Local Features: a Surface Model Applied to Vortex Tracking. [Research Report] RR-2684, INRIA. 1995. 〈inria-00074007〉

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