Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU98196" target="_blank" >RIV/00216305:26230/12:PU98196 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes
Original language description
This paper deals with a scene pre-processing task - depth image segmentation. Efficiency and accuracy of several methods for depth map segmentation are explored. To meet real-time capable constraints, state-of-the-art techniques needed to be modified. Along with these modifications, new segmentation approaches are presented which aim at optimizing performance characteristics. They benefit from an assumption of human-made indoor environments by focusing on detection of planar regions. All methods were evaluated on datasets with manually annotated real environments. A comparison with alternative solutions is also presented.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE/RSJ International Conference on Intelligent Robots and Systems
ISBN
978-1-4673-1737-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
Department of Computer Graphics and Multimedia FIT BUT
Place of publication
Vilamoura, Algarve
Event location
Vilamoura, Algarve
Event date
Oct 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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