Skip to Main content Skip to Navigation
Journal articles

Optical flow estimation from multichannel spherical image decomposition

Abstract : The problem of optical flow estimation is largely discussed in computer vision domain for perspective images. It was also proven that, in terms of optical flow analysis from these images, we have difficulty distinguishing between some motion fields obtained with little camera motion. The omnidirectional cameras provided images with large filed of view. These images contain global information about motion and allow to remove the ambiguity present in perspective case. Nevertheless, these images contain significant radial distortions that is necessary to take into account when treating these images to estimate the motion. In this paper, we shall describe new way to compute efficient optical flow for several camera motions given synthetic and real omnidirectional images. Our formulation of optical flow estimation problem will be given in the spherical domain. The omnidirectional images will be mapped on the sphere and used in multichannel image decomposition process to constraint spherical optical flow equation. This decomposition is based on spherical wavelets. The optical flow fields obtained using our proposed approach are illustrated and compared with multichannel image decomposition method developed for perspective images and other published methods dedicated to omnidirectional images.
Complete list of metadatas

Cited literature [38 references]  Display  Hide  Download
Contributor : Cédric Demonceaux <>
Submitted on : Thursday, May 3, 2018 - 10:33:28 PM
Last modification on : Monday, March 30, 2020 - 8:43:29 AM
Document(s) archivé(s) le : Tuesday, September 25, 2018 - 6:52:03 AM


Files produced by the author(s)


  • HAL Id : hal-00637423, version 1


Amina Radgui, Cédric Demonceaux, El Mustapha Mouaddib, Mohamed Rziza, Driss Aboutajdine. Optical flow estimation from multichannel spherical image decomposition. Computer Vision and Image Understanding, Elsevier, 2011, 115 (9), pp.1263-1272. ⟨hal-00637423⟩



Record views


Files downloads