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

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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. © 2012 Springer-Verlag.

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APA

Alibouch, B., Radgui, A., Rziza, M., & Aboutajdine, D. (2012). Optical flow estimation on omnidirectional images: An adapted phase based method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7340 LNCS, pp. 468–475). https://doi.org/10.1007/978-3-642-31254-0_53

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