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HULÍK, R. BERAN, V. ŠPANĚL, M. KRŠEK, P. SMRŽ, P.
Original Title
Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes
Type
conference paper
Language
English
Original 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.
Keywords
Kinect; Depth Map Segmentation; Plane detection; Computer Vision; Range Sensing
Authors
HULÍK, R.; BERAN, V.; ŠPANĚL, M.; KRŠEK, P.; SMRŽ, P.
RIV year
2012
Released
1. 12. 2012
Publisher
Department of Computer Graphics and Multimedia FIT BUT
Location
Vilamoura, Algarve
ISBN
978-1-4673-1737-5
Book
IEEE International Conference on Intelligent Robots and Systems
2153-0858
Year of study
Number
12
Pages from
1665
Pages to
1670
Pages count
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/" }