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Preprints, Working Papers, ... Year : 2017

Panorama to panorama matching for location recognition

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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Dates and versions

hal-02370230 , version 1 (19-11-2019)

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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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