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Cited by 1,913

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Bags of Binary Words for Fast Place Recognition in Image Sequences

Open access
Galvez-López, D., Tardos, J. D.·2012·IEEE Transactions on Robotics

Abstract

We propose a novel method for visual place recognition using bag of words obtained from accelerated segment test (FAST)+BRIEF features. For the first time, we build a vocabulary tree that discretizes a binary descriptor space and use the tree to speed up correspondences for geometrical verification. We present competitive results with no false positives in very different datasets, using exactly the same vocabulary and settings. The whole technique, including feature extraction, requires 22 ms/frame in a sequence with 26 300 images that is one order of magnitude faster than previous approaches.

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Crossref · 10.1109/tro.2012.2197158

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Metadata

Authors
Galvez-López, D., & Tardos, J. D.
Venue
IEEE Transactions on Robotics
Published
2012-10
Volume
28
Issue
5
Pages
1188-1197
ISSN
  • 1552-3098 (ISSN-L)
  • 1941-0468
OpenAlex
W1989484209
Cited by
1,913
References
27
FWCI
26.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bags of Binary Words for Fast Place Recognition in Image Sequences. https://app.cochat.ai/papers/10.1109/tro.2012.2197158
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Galvez-López, D., & Tardos, J. D. (2012). Bags of Binary Words for Fast Place Recognition in Image Sequences. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2012.2197158

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.