Optical flow estimation on omnidirectional images: an adapted phase based method

Authors:
Brahim Alibouch;Amina Radgui;Mohammed Rziza;Driss Aboutajdine
Affiliations:
LRIT associated unit with CNRST (URAC29), Mohammed V-Agdal University, Rabat, Morocco;LRIT associated unit with CNRST (URAC29), Mohammed V-Agdal University, Rabat, Morocco, INPT, Rabat, Morocco;LRIT associated unit with CNRST (URAC29), Mohammed V-Agdal University, Rabat, Morocco;LRIT associated unit with CNRST (URAC29), Mohammed V-Agdal University, Rabat, Morocco
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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Abstract

Omnidirectional vision is one of emerging areas of research. Omnidirectional images offer a large field of view compared to conventional perspectives images. However, these images contain important distortions, and classical optical flow estimation 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 that this method involve in order to take into account the nature of omnidirectional images.