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Article Dans Une Revue Signal, Image and Video Processing Année : 2016

A phase-based framework for optical flow estimation on omnidirectional images

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Résumé

Over the past few years, omnidirectional vision has become an important area of research because omnidirectional cameras offer a large field of view compared with conventional perspectives cameras. However, omnidirectional images contain important distortions, and classical optical flow estimations are thus not appropriate. In this paper, we propose to estimate optical flow on omnidirectional images using a phase-based method which proved its robustness and its accuracy on the perspective images. We will adapt different treatments in order to take into account the nature of omnidirectional images.
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Dates et versions

hal-01430724 , version 1 (10-01-2017)

Identifiants

Citer

Brahim Alibouch, Amina Radgui, Cédric Demonceaux, Mohammed Rziza, Driss Aboutajdine. A phase-based framework for optical flow estimation on omnidirectional images. Signal, Image and Video Processing, 2016, 10 (2), pp.285 - 292. ⟨10.1007/s11760-014-0739-z⟩. ⟨hal-01430724⟩
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