Fuzzy C-means stereo segmentation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095914" target="_blank" >RIV/61989100:27240/15:86095914 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-25530-9_3" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-25530-9_3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-25530-9_3" target="_blank" >10.1007/978-3-319-25530-9_3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy C-means stereo segmentation

Popis výsledku v původním jazyce

An extension to the popular fuzzy c-means clustering method is proposed by introducing an additional disparity cue. The creation of the fuzzy clusters is driven by a degree of the stereo match and thus it enables to separate the objects not only by theirdifferent colours but also on their different spatial depth. In contrast to the other approaches, the clustering is not performed on the individual input images, but on the stereo image pairs and takes into accounts the stereo matching properties knownfrom the stereo matching algorithms. The proposed method is capable of calculating the output segmentations, as well as the disparity maps. The results of the algorithm show that the proposed method can improve the segmentation in difficult settings. However, the drawback of this approach is that it requires the stereo image pairs of the segmented scenes that are not always easily obtainable.

Název v anglickém jazyce

Fuzzy C-means stereo segmentation

Popis výsledku anglicky

An extension to the popular fuzzy c-means clustering method is proposed by introducing an additional disparity cue. The creation of the fuzzy clusters is driven by a degree of the stereo match and thus it enables to separate the objects not only by theirdifferent colours but also on their different spatial depth. In contrast to the other approaches, the clustering is not performed on the individual input images, but on the stereo image pairs and takes into accounts the stereo matching properties knownfrom the stereo matching algorithms. The proposed method is capable of calculating the output segmentations, as well as the disparity maps. The results of the algorithm show that the proposed method can improve the segmentation in difficult settings. However, the drawback of this approach is that it requires the stereo image pairs of the segmented scenes that are not always easily obtainable.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 9443

ISBN

978-3-319-25529-3

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

14

Strana od-do

35-49

Název nakladatele

Springer Verlag

Místo vydání

London

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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