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Detail publikačního výsledku
HULÍK, R.; BERAN, V.; ŠPANĚL, M.; KRŠEK, P.; SMRŽ, P.
Originální název
Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Kinect; Depth Map Segmentation;Plane detection; Computer Vision; Range Sensing
Klíčová slova v angličtině
Autoři
Rok RIV
2013
Vydáno
01.12.2012
Nakladatel
Department of Computer Graphics and Multimedia FIT BUT
Místo
Vilamoura, Algarve
ISBN
978-1-4673-1737-5
Kniha
IEEE International Conference on Intelligent Robots and Systems
ISSN
2153-0858
Periodikum
Proceedings of the International Conference on Intelligent Robots and Systems
Svazek
2012
Číslo
12
Stát
Spojené státy americké
Strany od
1665
Strany do
1670
Strany počet
6
URL
https://www.fit.vut.cz/research/publication/9955/
Plný text v Digitální knihovně
http://hdl.handle.net/
BibTex
@inproceedings{BUT91488, author="Rostislav {Hulík} and Vítězslav {Beran} and Michal {Španěl} and Přemysl {Kršek} and Pavel {Smrž}", title="Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes", booktitle="IEEE International Conference on Intelligent Robots and Systems", year="2012", journal="Proceedings of the International Conference on Intelligent Robots and Systems", volume="2012", number="12", pages="1665--1670", publisher="Department of Computer Graphics and Multimedia FIT BUT", address="Vilamoura, Algarve", doi="10.1109/IROS.2012.6385868", isbn="978-1-4673-1737-5", issn="2153-0858", url="https://www.fit.vut.cz/research/publication/9955/" }
Dokumenty
depth_map_seg