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Panorama to panorama matching for location recognition

Ahmet Iscen 1 Giorgos Tolias 2 Yannis Avrithis 1 Teddy Furon 1 Ondřej Chum 2 
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
2 VRG - Visual Recognition Group [Prague]
FEL CTU - Faculty of Electrical Engineering [Prague]
Abstract : Location recognition is commonly treated as visual instance retrieval on "street view" imagery. e dataset items and queries are panoramic views, i.e. groups of images taken at a single location. is work introduces a novel panorama-to-panorama matching process, either by aggregating features of individual images in a group or by explicitly constructing a larger panorama. In either case, multiple views are used as queries. We reach near perfect location recognition on a standard benchmark with only four query views.
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Preprints, Working Papers, ...
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Submitted on : Tuesday, November 19, 2019 - 1:00:56 PM
Last modification on : Saturday, August 6, 2022 - 3:32:48 AM
Long-term archiving on: : Thursday, February 20, 2020 - 7:16:54 PM


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Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondřej Chum. Panorama to panorama matching for location recognition. 2017. ⟨hal-02370230⟩



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