TY - JOUR
T1 - Sparse Data Interpolation Using the Geodesic Distance Affinity Space
AU - Mozerov, Mikhail G.
AU - Yang, Fei
AU - Van De Weijer, Joost
PY - 2019/6/1
Y1 - 2019/6/1
N2 - © 1994-2012 IEEE. 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.
AB - © 1994-2012 IEEE. 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.
KW - adaptive filter
KW - geodesic distance filter
KW - Sparse data interpolation
UR - http://www.mendeley.com/research/sparse-data-interpolation-using-geodesic-distance-affinity-space
U2 - 10.1109/LSP.2019.2914004
DO - 10.1109/LSP.2019.2914004
M3 - Article
SN - 1070-9908
VL - 26
SP - 943
EP - 947
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
M1 - 8709755
ER -