Conference paper

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.
Publication language:english
Original title:Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain
Title (cs):Efektivnost postupu Bag-of-Words na problému hledání objektů ve 3d doméně
Proceedings:Proceedings of SCCG 2017
Conference:Spring Conference on Computer Graphics 2017
Place:New York City, NY, CZ
Publisher:Association for Computing Machinery
Bag-of-Words, object search, large-scale datasets
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.
   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 = {}

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