Panorama to panorama matching for location recognition

Authors:
  • AIAhmet Iscen
    Ahmet Iscen
  • GTGiorgos Tolias
    Giorgos Tolias
  • YAYannis Avrithis
    Yannis Avrithis
  • TFTeddy Furon
    Teddy Furon
  • OCOndrej Chum
    Ondrej Chum

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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