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Erschienen in:
Accelerating the Distribution Estimation for the Weighted Median/Mode Filters Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

DisLocation: Scalable Descriptor Distinctiveness for Location Recognition

verfasst von : Relja Arandjelović, Andrew Zisserman

Erschienen in: Computer Vision -- ACCV 2014

Verlag: Springer International Publishing

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Abstract

The objective of this paper is to improve large scale visual object retrieval for visual place recognition. Geo-localization based on a visual query is made difficult by plenty of non-distinctive features which commonly occur in imagery of urban environments, such as generic modern windows, doors, cars, trees, etc. The focus of this work is to adapt standard Hamming Embedding retrieval system to account for varying descriptor distinctiveness. To this end, we propose a novel method for efficiently estimating distinctiveness of all database descriptors, based on estimating local descriptor density everywhere in the descriptor space. In contrast to all competing methods, the (unsupervised) training time for our method (DisLoc) is linear in the number database descriptors and takes only a 100 s on a single CPU core for a 1 million image database. Furthermore, the added memory requirements are negligible (1 %).
The method is evaluated on standard publicly available large-scale place recognition benchmarks containing street-view imagery of Pittsburgh and San Francisco. DisLoc is shown to outperform all baselines, while setting the new state-of-the-art on both benchmarks. The method is compatible with spatial reranking, which further improves recognition results.
Finally, we also demonstrate that 7 % of the least distinctive features can be removed, therefore reducing storage requirements and improving retrieval speed, without any loss in place recognition accuracy.

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Vorheriges Kapitel Robust Sharpness Metrics Using Reorganized DCT Coefficients for Auto-Focus Application
Nächstes Kapitel Discriminative Collaborative Representation for Classification
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Metadaten
Titel
DisLocation: Scalable Descriptor Distinctiveness for Location Recognition
verfasst von
Relja Arandjelović
Andrew Zisserman
Copyright-Jahr
2015
Buch
Computer Vision -- ACCV 2014

Print ISBN: 978-3-319-16816-6

Electronic ISBN: 978-3-319-16817-3

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-16817-3_13

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