Project Details

Visual localization in natural environments

Project Period: 1. 3. 2014 – 19. 7. 2016

Project Type: grant

Code: 4SGA8694

Agency: Evropská unie

Program: Akce Marie Curie – Lidské zdroje a mobilita

Czech title
Vizuální lokalizace v přírodě
Type
grant
Keywords

image processing, computer graphics, computer vision, visual localization, terrain alignment, geo-localization, scene to model registration, viewing direction estimation, cameras, terrain mapping, cartographic data, photographic data, semantic image labeling, image registration

Abstract

The proposed project deals with localization in natural environments. It builds on the applicant's experience in registration of photos with a 3D geo-referenced terrain model and on the expertise of graphics group @FIT-BUT in image processing, computer graphics & vision, machine learning and experience with research and development of avionics. It proposes an investigation of image to model registration techniques allowing for building accurate visual localization systems that are more robust to qualities of input photos. Particular attention will be devoted to finding applications of visual localization systems in challenging scenarios, e.g. in aircraft systems.

Team members
Čadík Martin, doc. Ing., Ph.D. (DCGM) – research leader
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
Publications

2017

  • AHMAD, T.; CAMPR, P.; ČADÍK, M.; BEBIS, G. Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection. In Proceedings of the International Joint Conference on Neural Networks (IJCNN). Anchorage: Institute of Electrical and Electronics Engineers, 2017. p. 4436-4443. ISBN: 978-1-4799-1961-1. Detail
  • BREJCHA, J.; ČADÍK, M. GeoPose3K: Mountain Landscape Dataset for Camera Pose Estimation in Outdoor Environments. IMAGE AND VISION COMPUTING, 2017, vol. 2017, no. 1, p. 1-41. ISSN: 0262-8856. Detail
  • BREJCHA, J.; ČADÍK, M. State-of-the-art in Visual Geo-localization. PATTERN ANALYSIS AND APPLICATIONS, 2017, vol. 2017, no. 3, p. 1-25. ISSN: 1433-7541. Detail

2016

  • ČADÍK, M.; AYDIN, T. HDR Video Metrics. In High Dynamic Range Video: Concepts, Technologies and Applications. London: Elsevier Science, 2016. p. 111-125. ISBN: 978-0-12-809477-8. Detail
  • PŘIBYL, B.; CHALMERS, A.; ZEMČÍK, P.; HOOBERMAN, L.; ČADÍK, M. Evaluation of Feature Point Detection in High Dynamic Range Imagery. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2016, vol. 38, no. 1, p. 141-160. ISSN: 1047-3203. Detail

2015

  • ČADÍK, M.; VAŠÍČEK, J.; HRADIŠ, M.; RADENOVIĆ, F.; CHUM, O. Camera Elevation Estimation from a Single Mountain Landscape Photograph. In British Machine Vision Conference 2015. Swansea: The British Machine Vision Association and Society for Pattern Recognition, 2015. p. 1-12. ISBN: 978-1-901725-53-7. Detail

2014

  • FIŠER, J.; LUKÁČ, M.; JAMRIŠKA, O.; ČADÍK, M.; GINGOLD, Y.; ASENTE, G.; SÝKORA, D. Color Me Noisy: Example-based Rendering of Hand-colored Animations with Temporal Noise Control. COMPUTER GRAPHICS FORUM, 2014, vol. 2014, no. 4, p. 1-10. ISSN: 0167-7055. Detail
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