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• W2013270301 abstract "Repeated structures such as building facades, fences or road markings often represent a significant challenge for place recognition. Repeated structures are notoriously hard for establishing correspondences using multi-view geometry. Even more importantly, they violate the feature independence assumed in the bag-of-visual-words representation which often leads to over-counting evidence and significant degradation of retrieval performance. In this work we show that repeated structures are not a nuisance but, when appropriately represented, they form an important distinguishing feature for many places. We describe a representation of repeated structures suitable for scalable retrieval. It is based on robust detection of repeated image structures and a simple modification of weights in the bag-of-visual-word model. Place recognition results are shown on datasets of street-level imagery from Pittsburgh and San Francisco demonstrating significant gains in recognition performance compared to the standard bag-of-visual-words baseline and more recently proposed burstiness weighting." @default.
• W2013270301 created "2016-06-24" @default.
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• W2013270301 date "2013-06-01" @default.
• W2013270301 modified "2023-10-10" @default.
• W2013270301 title "Visual Place Recognition with Repetitive Structures" @default.
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• W2013270301 doi "https://doi.org/10.1109/cvpr.2013.119" @default.
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