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Conference Papers Year : 2017

Panorama to panorama matching for location recognition


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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hal-01511793 , version 1 (21-04-2017)



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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