Detail publikace

Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes

HULÍK, R. BERAN, V. ŠPANĚL, M. KRŠEK, P. SMRŽ, P.

Originální název

Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

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

Autoři

HULÍK, R.; BERAN, V.; ŠPANĚL, M.; KRŠEK, P.; SMRŽ, P.

Rok RIV

2012

Vydáno

1. 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

Ročník

2012

Číslo

12

Strany od

1665

Strany do

1670

Strany počet

6

URL

https://www.fit.vut.cz/research/publication/9955/

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/"
}