%0 Journal Article
%T Sparse Data Interpolation Using the Geodesic Distance Affinity Space
%A Mikhail Mozerov
%A Fei Yang
%A Joost Van de Weijer
%J IEEE Signal Processing Letters
%D 2019
%V 26
%N 6
%F Mikhail Mozerov2019
%O LAMP; 600.120
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3261), last updated on Tue, 08 Feb 2022 12:07:29 +0100
%X In this letter, we adapt the geodesic distance-based recursive filter to the sparse data interpolation problem. The proposed technique is general and can be easily applied to any kind of sparse data. We demonstrate its superiority over other interpolation techniques in three experiments for qualitative and quantitative evaluation. In addition, we compare our method with the popular interpolation algorithm presented in the paper on EpicFlow optical flow, which is intuitively motivated by a similar geodesic distance principle. The comparison shows that our algorithm is more accurate and considerably faster than the EpicFlow interpolation technique.
%U http://refbase.cvc.uab.es/files/MYW2019.pdf
%U http://dx.doi.org/10.1109/LSP.2019.2914004
%P 943-947