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Panorama to panorama matching for location recognition

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Title: Panorama to panorama matching for location recognition
Authors: Iscen, Ahmet, Tolias, Giorgos, Avrithis, Yannis, Furon, Teddy, Chum, Ondřej
Contributors: Creating and exploiting explicit links between multimedia fragments (LinkMedia), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-MEDIA ET INTERACTIONS (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Visual Recognition Group Prague (VRG), Faculty of Electrical Engineering Prague (FEL CTU), Czech Technical University in Prague (CTU)-Czech Technical University in Prague (CTU)
Source: https://inria.hal.science/hal-02370230 ; 2017.
Publisher Information: HAL CCSD
Publication Year: 2017
Collection: Université de Rennes 1: Publications scientifiques (HAL)
Subject Terms: location recognition, Visual content-based indexing and retrieval, Image search, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Description: 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.
Document Type: report
Language: English
Relation: info:eu-repo/semantics/altIdentifier/arxiv/1704.06591; ARXIV: 1704.06591
DOI: 10.1145/3078971.3079033
Availability: https://inria.hal.science/hal-02370230
https://inria.hal.science/hal-02370230v1/document
https://inria.hal.science/hal-02370230v1/file/1704.06591.pdf
https://doi.org/10.1145/3078971.3079033
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.4A035A76
Database: BASE
Description
Abstract: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.
DOI:10.1145/3078971.3079033