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Understanding and Improving Kernel Local Descriptors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00327259" target="_blank" >RIV/68407700:21230/19:00327259 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s11263-018-1137-8" target="_blank" >https://doi.org/10.1007/s11263-018-1137-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11263-018-1137-8" target="_blank" >10.1007/s11263-018-1137-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Understanding and Improving Kernel Local Descriptors

  • Original language description

    We propose a multiple-kernel local-patch descriptor based on efficient match kernels from pixel gradients. It combines two parametrizations of gradient position and direction, each parametrization provides robustness to a different type of patch mis-registration: polar parametrization for noise in the patch dominant orientation detection, Cartesian for imprecise location of the feature point. Combined with whitening of the descriptor space, that is learned with or without supervision, the performance is significantly improved. We analyze the effect of the whitening on patch similarity and demonstrate its semantic meaning. Our unsupervised variant is the best performing descriptor constructed without the need of labeled data. Despite the simplicity of the proposed descriptor, it competes well with deep learning approaches on a number of different tasks.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Computer Vision

  • ISSN

    0920-5691

  • e-ISSN

    1573-1405

  • Volume of the periodical

    127

  • Issue of the periodical within the volume

    11-12

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    15

  • Pages from-to

    1723-1737

  • UT code for WoS article

    000492425300009

  • EID of the result in the Scopus database

    2-s2.0-85074163686