TY  - JOUR
AU  - Mikhail Mozerov
AU  - Fei Yang
AU  - Joost Van de Weijer
PY  - 2019//
TI  - Sparse Data Interpolation Using the Geodesic Distance Affinity Space
T2  - SPL
JO  - IEEE Signal Processing Letters
SP  - 943
EP  - 947
VL  - 26
IS  - 6
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/MYW2019.pdf
UR  - http://dx.doi.org/10.1109/LSP.2019.2914004
N1  - LAMP; 600.120
ID  - Mikhail Mozerov2019
ER  -