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Conference papers

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
IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique
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. The dataset items and queries are panoramic views, i.e.groups of images taken at a single location. This 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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Submitted on : Friday, April 21, 2017 - 3:56:45 PM
Last modification on : Wednesday, November 3, 2021 - 8:14:29 AM
Long-term archiving on: : Saturday, July 22, 2017 - 1:54:53 PM


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Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondřej Chum. Panorama to panorama matching for location recognition. ACM International Conference on Multimedia Retrieval (ICMR) 2017, Jun 2017, Bucharest, Romania. ⟨10.1145/3078971.3079033⟩. ⟨hal-01511793⟩



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