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Sensors 2017, 17(5), 1167;

PHROG: A Multimodal Feature for Place Recognition

Laboratoire d’Informatique, de Traitement de l’Information et des Systèmes, Normandie University, UNIROUEN, UNIHAVRE, INSA Rouen, LITIS, 76000 Rouen, France
Institut de Recherche en Systèmes Électroniques Embarqués, Normandie University, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France
Centre d’Études et d’Expertise sur les Risques, l’Environnement, la Mobilité et l’Aménagement, CEREMA, 76000 Rouen, France
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 3 March 2017 / Revised: 17 May 2017 / Accepted: 18 May 2017 / Published: 20 May 2017
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [5231 KB, uploaded 23 May 2017]   |  


Long-term place recognition in outdoor environments remains a challenge due to high appearance changes in the environment. The problem becomes even more difficult when the matching between two scenes has to be made with information coming from different visual sources, particularly with different spectral ranges. For instance, an infrared camera is helpful for night vision in combination with a visible camera. In this paper, we emphasize our work on testing usual feature point extractors under both constraints: repeatability across spectral ranges and long-term appearance. We develop a new feature extraction method dedicated to improve the repeatability across spectral ranges. We conduct an evaluation of feature robustness on long-term datasets coming from different imaging sources (optics, sensors size and spectral ranges) with a Bag-of-Words approach. The tests we perform demonstrate that our method brings a significant improvement on the image retrieval issue in a visual place recognition context, particularly when there is a need to associate images from various spectral ranges such as infrared and visible: we have evaluated our approach using visible, Near InfraRed (NIR), Short Wavelength InfraRed (SWIR) and Long Wavelength InfraRed (LWIR). View Full-Text
Keywords: feature extraction; cross-spectral imaging; scene matching; visual place recognition feature extraction; cross-spectral imaging; scene matching; visual place recognition

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Bonardi, F.; Ainouz, S.; Boutteau, R.; Dupuis, Y.; Savatier, X.; Vasseur, P. PHROG: A Multimodal Feature for Place Recognition. Sensors 2017, 17, 1167.

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