Detail publikace

Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain

PRIVALOV, V. BERAN, V. SMRŽ, P.

Originální název

Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this work, we investigate the application of the Bag-of-Words approach for object search task in 3D domain. Image retrieval task solutions, operating on datasets of thousands and millions images, have proved the effectiveness of Bag-of-Words approach. The availability of low cost RGB-D cameras is a rise of large datasets of 3D data similar to image corpuses (e.g. RoboEarth). The results of such an investigation could be useful for many robot scenarios like place recognition from a large dataset of samples of places acquired during the long-term observation of an environment. The first goal of our research presented in this paper is focused on the sensitivity of the Bag-of-Words approach to various parameters (e.g. spacial sampling, surface description etc.) with respect to precision, stability and robustness. The experiments are carry out on two widely-used datasets in object instance identification task in 3D domain.

Klíčová slova

Bag-of-Words, object search, large-scale datasets

Autoři

PRIVALOV, V.; BERAN, V.; SMRŽ, P.

Vydáno

15. 5. 2017

Nakladatel

Association for Computing Machinery

Místo

New York City, NY

ISBN

978-1-4503-5107-2

Kniha

Proceedings of SCCG 2017

Edice

Proceedings - SCCG 2017: 33rd Spring Conference on Computer Graphics

Strany od

138

Strany do

145

Strany počet

8

URL

https://www.fit.vut.cz/research/publication/11640/

BibTex

@inproceedings{BUT146364,
  author="Vladimir {Privalov} and Vítězslav {Beran} and Pavel {Smrž}",
  title="Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain",
  booktitle="Proceedings of SCCG 2017",
  year="2017",
  series="Proceedings - SCCG 2017: 33rd Spring Conference on Computer Graphics",
  pages="138--145",
  publisher="Association for Computing Machinery",
  address="New York City, NY",
  doi="10.1145/3154353.3154365",
  isbn="978-1-4503-5107-2",
  url="https://www.fit.vut.cz/research/publication/11640/"
}