Effectect of Low-pass Filters as a Shi-Tomas Corner Detector´s Window Functions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129540" target="_blank" >RIV/00216305:26220/18:PU129540 - isvavai.cz</a>

Výsledek na webu

<a href="http://tsp.vutbr.cz" target="_blank" >http://tsp.vutbr.cz</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2018.8441178" target="_blank" >10.1109/TSP.2018.8441178</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Effectect of Low-pass Filters as a Shi-Tomas Corner Detector´s Window Functions

Popis výsledku v původním jazyce

The aim of this paper is to introduce an innovative way of using a low-pass spatial filter instead of window function of Shi–Tomasi corner detector, which is an enhancement of the Harris corner detector. The paper thus includes verification of the validity of this method on a reference image, and a comparison of different low-pass filters on test images. Particular spatial filters are linear smoothing filters mean filtering and Gaussian blur, and non-linear median filtering. The reason for this is to get an easy-to-implement algorithm for different architectures, such as a graphics card using shaders, which will allow fast processing of the input image even in real-time applications on less powerful devices, for example smartphones. This method can be applied not only to Shi–Tomasi corner detector, but also contains a formula for its use in the classic Harris corner detector. After a corresponding conversion of the evaluation function, the method can also be used for other variants of this corner detector, such as Noble detector.

Název v anglickém jazyce

Effectect of Low-pass Filters as a Shi-Tomas Corner Detector´s Window Functions

Popis výsledku anglicky

The aim of this paper is to introduce an innovative way of using a low-pass spatial filter instead of window function of Shi–Tomasi corner detector, which is an enhancement of the Harris corner detector. The paper thus includes verification of the validity of this method on a reference image, and a comparison of different low-pass filters on test images. Particular spatial filters are linear smoothing filters mean filtering and Gaussian blur, and non-linear median filtering. The reason for this is to get an easy-to-implement algorithm for different architectures, such as a graphics card using shaders, which will allow fast processing of the input image even in real-time applications on less powerful devices, for example smartphones. This method can be applied not only to Shi–Tomasi corner detector, but also contains a formula for its use in the classic Harris corner detector. After a corresponding conversion of the evaluation function, the method can also be used for other variants of this corner detector, such as Noble detector.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

2018 41th International Conference on Telecommunication and Signal Processing

ISBN

978-1-5386-4695-3

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

623-626

Název nakladatele

IEEE

Místo vydání

Greece, Athens

Místo konání akce

Athens, Greece

Datum konání akce

4. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000454845100139