FPGA-Based Module for SURF Extraction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00213880" target="_blank" >RIV/68407700:21230/14:00213880 - isvavai.cz</a>

Result on the web

<a href="http://link.springer.com/article/10.1007%2Fs00138-014-0599-0" target="_blank" >http://link.springer.com/article/10.1007%2Fs00138-014-0599-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00138-014-0599-0" target="_blank" >10.1007/s00138-014-0599-0</a>

Result language

angličtina

Original language name

FPGA-Based Module for SURF Extraction

Original language description

We present a complete hardware and software solution of an FPGA-based computer vision embedded module capable of carrying out SURF image features extraction algorithm. Aside from image analysis, the module embeds a Linux distribution that allows to run programs specifically tailored for particular applications. The module is based on a Virtex-5 FXT FPGA which features powerful configurable logic and an embedded PowerPC processor. We describe the module hardware as well as the custom FPGA image processing cores that implement the algorithm's most computationally expensive process, the interest point detection. The module's overall performance is evaluated and compared to CPU and GPU based solutions. Results show that the embedded module achieves comparable disctinctiveness to the SURF software implementation running in a standard CPU while being faster and consuming significantly less power and space. Thus, it allows to use the SURF algorithm in applications with power and spatial const

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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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)

Publication year

2014

Confidentiality

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

Name of the periodical

Machine Vision and Applications

ISSN

0932-8092

e-ISSN

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Volume of the periodical

25

Issue of the periodical within the volume

3

Country of publishing house

DE - GERMANY

Number of pages

14

Pages from-to

787-800

UT code for WoS article

000333364300017

EID of the result in the Scopus database

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