Panorama to Panorama Matching for Location Recognition
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Open Access
- 6 June 2017
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 392-396
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.Keywords
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Funding Information
- ERC-CZ (MSMT LL1303)
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