Panorama to panorama matching for location recognition
This addresses location recognition for applications like navigation or mapping, but it is incremental as it builds on existing visual instance retrieval methods.
The paper tackled location recognition by introducing a panorama-to-panorama matching process, achieving near perfect recognition on a standard benchmark with only four query views.
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.