Color Segmentation for Segment-based Stereo Matching

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43868422" target="_blank" >RIV/70883521:28140/12:43868422 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Color Segmentation for Segment-based Stereo Matching

Popis výsledku v původním jazyce

The correspondence problem in the field of stereo vision has been attracting a lot of efforts amongst computer scientists recently. Although the epipolar geometry simplified the search for corresponding pixels in stereo images considerably, many challenging difficulties are still left. In this paper it is proposed the novel image segmentation technique designated for consequent exploitation by segment-based stereo matching algorithm. Segment-based methods arise from assumption that the scene can be divided into segments having homogenous color where each segment from one stereo image coincide with correspondent segment in the other image. In comparison with correlation-based and feature-based methods it tends to have better performance in textureless regions, while dense disparity map is being produced. The new approach is based on the use of standard inter-pixel Euclidean distance utilization, which is enhanced by hue similarity and minimal size of segments criteria. All three conditi

Název v anglickém jazyce

Color Segmentation for Segment-based Stereo Matching

Popis výsledku anglicky

The correspondence problem in the field of stereo vision has been attracting a lot of efforts amongst computer scientists recently. Although the epipolar geometry simplified the search for corresponding pixels in stereo images considerably, many challenging difficulties are still left. In this paper it is proposed the novel image segmentation technique designated for consequent exploitation by segment-based stereo matching algorithm. Segment-based methods arise from assumption that the scene can be divided into segments having homogenous color where each segment from one stereo image coincide with correspondent segment in the other image. In comparison with correlation-based and feature-based methods it tends to have better performance in textureless regions, while dense disparity map is being produced. The new approach is based on the use of standard inter-pixel Euclidean distance utilization, which is enhanced by hue similarity and minimal size of segments criteria. All three conditi

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: Centrum bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of International Conference on Innovative Technologies IN-TECH

ISBN

978-953-6326-77-8

ISSN

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e-ISSN

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Počet stran výsledku

3

Strana od-do

331-333

Název nakladatele

Faculty of Engineering University of Rijeka

Místo vydání

Rijeka

Místo konání akce

Rijeka

Datum konání akce

26. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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