Topological data analysis in computer vision

Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    The paper will provide examples of computer vision tasks in which topological data analysis gave new effective solutions. Ideas underlying topological data analysis and its basic methods will be briefly described and illustrated with examples of computer vision problems. No prior knowledge in topological data analysis and computational geometry is assumed, a brief introduction to subject is given throughout the text.

    Original languageEnglish
    Title of host publication12th International Conference on Machine Vision, ICMV 2019
    EditorsWolfgang Osten, Dmitry Nikolaev, Jianhong Zhou
    PublisherSPIE
    Volume11433
    ISBN (Electronic)9781510636439
    DOIs
    Publication statusPublished - 2020
    Event12th International Conference on Machine Vision, ICMV 2019 - Amsterdam, Netherlands
    Duration: 16 Nov 201918 Nov 2019

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume11433
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    Conference12th International Conference on Machine Vision, ICMV 2019
    Country/TerritoryNetherlands
    CityAmsterdam
    Period16/11/1918/11/19

    Keywords

    • Computer vision
    • FMRI
    • Functional connectivity
    • Topological data analysis

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