Effect of Low-Pass Filters as a Shi-Tomasi Corner Detector's Window Functions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F18%3A43913935" target="_blank" >RIV/62156489:43110/18:43913935 - isvavai.cz</a>

Výsledek na webu

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

Effect of Low-Pass Filters as a Shi-Tomasi 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

Effect of Low-Pass Filters as a Shi-Tomasi 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

20205 - Automation and control systems

Projekt

—

Návaznosti

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

41st International Conference on Telecommunications and Signal Processing (TSP)

ISBN

978-1-5386-4695-3

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

623-626

Název nakladatele

IEEE-Institute of Electrical Electronics Engineers

Místo vydání

Piscataway

Místo konání akce

Athény

Datum konání akce

4. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000454845100139