Panorama to panorama matching for location recognition

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