All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Real-Time FPGA-Based Detection of Speeded-Up Robust Features Using Separable Convolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00315459" target="_blank" >RIV/68407700:21230/18:00315459 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/8074797/" target="_blank" >http://ieeexplore.ieee.org/document/8074797/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TII.2017.2764485" target="_blank" >10.1109/TII.2017.2764485</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real-Time FPGA-Based Detection of Speeded-Up Robust Features Using Separable Convolution

  • Original language description

    In this paper, we propose a novel architecture for efficient detection of Speeded Up Robust Features (SURF) for Field-programmable gate array (FPGA). The main benefits of the proposed architecture are in real-time low-latency performance and scalability. The proposed solution provides a significant acceleration of salient points extraction which is fundamental image processing technique for vision-based methods including the simultaneous localization and mapping (SLAM). Based on the presented practical results, the proposed architecture is capable of processing streaming image data at the rate of 140 Megapixels per second which roughly scales from the 640x480@420fps up to 1920x1080@60fps video streams on a low-end, low-cost FPGA solution (Cyclone V). Moreover, the proposed feature detection utilizes only about 20% of logic elements of the FPGA which supports further parallel processing of multiple inputs.

  • 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

    <a href="/en/project/GJ15-09600Y" target="_blank" >GJ15-09600Y: Adaptive Informative Path Planning in Autonomous Data Collection in Dynamic Unstructured Environments</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

  • ISSN

    1551-3203

  • e-ISSN

    1941-0050

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    1155-1163

  • UT code for WoS article

    000426700600034

  • EID of the result in the Scopus database

    2-s2.0-85032283396