Color Segmentation for Segment-based Stereo Matching
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Color Segmentation for Segment-based Stereo Matching
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
3
Pages from-to
331-333
Publisher name
Faculty of Engineering University of Rijeka
Place of publication
Rijeka
Event location
Rijeka
Event date
Sep 26, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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