Publication Details

Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes

HULÍK, R.; BERAN, V.; ŠPANĚL, M.; KRŠEK, P.; SMRŽ, P. Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes. In IEEE International Conference on Intelligent Robots and Systems. Vilamoura, Algarve: Department of Computer Graphics and Multimedia FIT BUT, 2012. p. 1665-1670. ISBN: 978-1-4673-1737-5. ISSN: 2153-0858.
Czech title
Rychlá a přesná segmentace hloubkových dat pro scény interiérů
Type
conference paper
Language
English
Authors
Keywords

Kinect; Depth Map Segmentation; Plane detection; Computer Vision; Range Sensing

Abstract

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.

Published
2012
Pages
1665–1670
Proceedings
IEEE International Conference on Intelligent Robots and Systems
Volume
2012
Number
12
ISBN
978-1-4673-1737-5
Publisher
Department of Computer Graphics and Multimedia FIT BUT
Place
Vilamoura, Algarve
DOI
EID Scopus
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",
  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/"
}
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