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Performance Evaluation of Selected 3D Keypoint Detector-Descriptor Combinations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10417287" target="_blank" >RIV/00216208:11320/20:10417287 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-59006-2_17" target="_blank" >https://doi.org/10.1007/978-3-030-59006-2_17</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-59006-2_17" target="_blank" >10.1007/978-3-030-59006-2_17</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance Evaluation of Selected 3D Keypoint Detector-Descriptor Combinations

  • Original language description

    The goal of the work was to make theoretical overview and evaluation of selected point cloud detectors and descriptors. We performed an experimental assessment of the repeatability and computational efficiency of individual methods using the well known Stanford 3D Scanning Repository database with the aim of identifying a method which is computationally-efficient in finding good corresponding points between two point clouds.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Vision and Graphics

  • ISBN

    978-3-030-59005-5

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    188-200

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Warsaw, Poland

  • Event date

    Sep 14, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article