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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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