Sparse Data Interpolation Using the Geodesic Distance Affinity Space

Mikhail G. Mozerov, Fei Yang, Joost Van De Weijer

    Research output: Contribution to journalArticleResearch


    © 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.
    Original languageEnglish
    Article number8709755
    Pages (from-to)943-947
    JournalIEEE Signal Processing Letters
    Publication statusPublished - 1 Jun 2019


    • adaptive filter
    • geodesic distance filter
    • Sparse data interpolation

    Fingerprint Dive into the research topics of 'Sparse Data Interpolation Using the Geodesic Distance Affinity Space'. Together they form a unique fingerprint.

    Cite this