Martin Kvisvik Larsen
About
Research
Visual methods for mapping and monitoring of benthic habitats
In my PhD project I explore new methods for using visual information to map and monitoring benthic habitats with unmanned underwater vehicles. One of the main focus areas of my research is the development of robust methods to color correct and register images in the presence of change. This allows for automation of large-scale data processing for benthic monitoring programs extending over multiple years. These methods form the foundation for developing datasets with consistent visual and geometric information between visits, which is crucial for enabling the development and evaluation of new methods based on learning from spatial correspondences between revisits.
Supervisor: Oscar Pizarro
Interest areas: optical modelling, computer vision, probabilistic machine learning, sensor fusion
Publications
2023
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Løvås, Håvard Snefjellå;
Larsen, Martin Kvisvik;
Pizarro, Oscar Rodrigo;
Sørensen, Asgeir Johan.
(2023)
Semi-analytical model for deep-water hyperspectral imaging.
Applied Optics
Academic article
-
Larsen, Martin Kvisvik;
Pizarro, Oscar Rodrigo;
Ludvigsen, Martin.
(2023)
Geometric Registration of Benthic Imagery for Learning Appearance-Based Place Recognition over Multiple Sessions.
Academic chapter/article/Conference paper
2022
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Nevstad, Malin Bø;
Johnsen, Geir;
Bakken, Torkild;
Larsen, Martin Kvisvik;
Mogstad, Aksel Alstad.
(2022)
Use of different imaging systems for ROV-based mapping of complex benthic habitats.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Masters thesis
2021
-
Diamanti, Eleni;
Løvås, Håvard;
Larsen, Martin Kvisvik;
Ødegård, Øyvind.
(2021)
A multi-camera system for the integrated documentation of Underwater Cultural Heritage of high structural complexity; The case study of M/S Helma wreck.
IFAC-PapersOnLine
Academic article
Journal publications
-
Løvås, Håvard Snefjellå;
Larsen, Martin Kvisvik;
Pizarro, Oscar Rodrigo;
Sørensen, Asgeir Johan.
(2023)
Semi-analytical model for deep-water hyperspectral imaging.
Applied Optics
Academic article
-
Diamanti, Eleni;
Løvås, Håvard;
Larsen, Martin Kvisvik;
Ødegård, Øyvind.
(2021)
A multi-camera system for the integrated documentation of Underwater Cultural Heritage of high structural complexity; The case study of M/S Helma wreck.
IFAC-PapersOnLine
Academic article
Part of book/report
-
Larsen, Martin Kvisvik;
Pizarro, Oscar Rodrigo;
Ludvigsen, Martin.
(2023)
Geometric Registration of Benthic Imagery for Learning Appearance-Based Place Recognition over Multiple Sessions.
Academic chapter/article/Conference paper
Report
-
Nevstad, Malin Bø;
Johnsen, Geir;
Bakken, Torkild;
Larsen, Martin Kvisvik;
Mogstad, Aksel Alstad.
(2022)
Use of different imaging systems for ROV-based mapping of complex benthic habitats.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Masters thesis