Publication Details

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

PRIVALOV Vladimir, BERAN Vítězslav and SMRŽ Pavel. Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain. In: Proceedings of SCCG 2017. New York City, NY: Association for Computing Machinery, 2017, pp. 138-145. ISBN 978-1-4503-5107-2.
Czech title
Efektivnost postupu Bag-of-Words na problému hledání objektů ve 3d doméně
Type
conference paper
Language
english
Authors
Keywords
Bag-of-Words, object search, large-scale datasets
Abstract
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.
Published
2017
Pages
138-145
Proceedings
Proceedings of SCCG 2017
Conference
Spring Conference on Computer Graphics 2017, Mikulov, CZ
ISBN
978-1-4503-5107-2
Publisher
Association for Computing Machinery
Place
New York City, NY, CZ
DOI
BibTeX
@INPROCEEDINGS{FITPUB11640,
   author = "Vladimir Privalov and V\'{i}t\v{e}zslav Beran and Pavel Smr\v{z}",
   title = "Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain",
   pages = "138--145",
   booktitle = "Proceedings of SCCG 2017",
   year = 2017,
   location = "New York City, NY, CZ",
   publisher = "Association for Computing Machinery",
   ISBN = "978-1-4503-5107-2",
   doi = "10.1145/3154353.3154365",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11640"
}
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