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Multiple-Kernel Local-Patch Descriptor

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312614" target="_blank" >RIV/68407700:21230/17:00312614 - isvavai.cz</a>

  • Result on the web

    <a href="http://cmp.felk.cvut.cz/~chum/papers/Mukundan-BMVC17.pdf" target="_blank" >http://cmp.felk.cvut.cz/~chum/papers/Mukundan-BMVC17.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5244/C.31.184" target="_blank" >10.5244/C.31.184</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multiple-Kernel Local-Patch Descriptor

  • Original language description

    We propose a multiple-kernel local-patch descriptor based on efficient match kernels of patch gradients. It combines two parametrizations of gradient position and direction, each parametrization provides robustness to a different type of patch miss-registration: polar parametrization for noise in the patch dominant orientation detection, Cartesian for imprecise location of the feature point. Even though handcrafted, the proposed method consistently outperforms the state-of-the-art methods on two local patch benchmarks.

  • 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

    <a href="/en/project/LL1303" target="_blank" >LL1303: Large Scale Category Retrieval</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    28th British Machine Vision Conference 2017 Proceedings

  • ISBN

    978-1-901725-60-5

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

  • Publisher name

    British Machine Vision Association

  • Place of publication

  • Event location

    London

  • Event date

    Sep 4, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article