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Visual localization based on sequence matching using ConvNet features

Yongliang Qiao 1, 2, 3 Cindy Cappelle 1, 2, 3 Yassine Ruichek 1, 2, 3 Fadi Dornaika 4
1 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
2 UTBM - Université de Technologie de Belfort-Montbeliard
3 UBFC - Université Bourgogne Franche-Comté [COMUE]
4 Ikerbasque - Basque Foundation for Science
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Conference papers
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https://hal.inria.fr/hal-01695639
Contributor : Cindy Cappelle <>
Submitted on : Monday, January 29, 2018 - 3:53:07 PM
Last modification on : Friday, July 17, 2020 - 2:59:06 PM

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CNRS | UNIV-BM | LE2I | TDS-MACS | UNIV-BM-THESE | UNIV-BOURGOGNE | UNIV-HESAM | ARTS-ET-METIERS-SCIENCES-ET-TECHNOLOGIES

Citation

Yongliang Qiao, Cindy Cappelle, Yassine Ruichek, Fadi Dornaika. Visual localization based on sequence matching using ConvNet features. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Oct 2016, Florence, France. ⟨10.1109/IECON.2016.7793293⟩. ⟨hal-01695639⟩

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