Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU127339" target="_blank" >RIV/00216305:26230/17:PU127339 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11640/" target="_blank" >https://www.fit.vut.cz/research/publication/11640/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3154353.3154365" target="_blank" >10.1145/3154353.3154365</a>
Alternative languages
Result language
angličtina
Original language name
Effectiveness of the Bag-of-Words approach on the object search problem in 3D domain
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SCCG 2017
ISBN
978-1-4503-5107-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
138-145
Publisher name
Association for Computing Machinery
Place of publication
New York City, NY
Event location
Mikulov
Event date
Apr 19, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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