Modified fuzzy C-means as a stereo segmentation method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092190" target="_blank" >RIV/61989100:27240/14:86092190 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=t4OVGI0Us8E=&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=t4OVGI0Us8E=&t=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0004793000400047" target="_blank" >10.5220/0004793000400047</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modified fuzzy C-means as a stereo segmentation method

Popis výsledku v původním jazyce

This paper presents an extension to the popular fuzzy c-means clustering method by introducing an additional disparity cue. The creation of the clusters is driven by a degree of the stereo match and thus is able to separate the objects based on their different colour and spatial depth. In contrast to the other popular approaches, the clustering is not performed on the individual input images, but on the stereo pair, and takes into account the matching properties. The algorithm is capable of producing the segmentations, as well as the disparity maps. The results of this algorithm show that the proposed method can improve the segmentation, under the condition of having the stereo image pair of the segmented scene.

Název v anglickém jazyce

Modified fuzzy C-means as a stereo segmentation method

Popis výsledku anglicky

This paper presents an extension to the popular fuzzy c-means clustering method by introducing an additional disparity cue. The creation of the clusters is driven by a degree of the stereo match and thus is able to separate the objects based on their different colour and spatial depth. In contrast to the other popular approaches, the clustering is not performed on the individual input images, but on the stereo pair, and takes into account the matching properties. The algorithm is capable of producing the segmentations, as well as the disparity maps. The results of this algorithm show that the proposed method can improve the segmentation, under the condition of having the stereo image pair of the segmented scene.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

ISBN

978-989-758-018-5

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

40-47

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

[Portugalsko]

Místo konání akce

Angers

Datum konání akce

6. 3. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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