5 papers · 1 filter
Patch Ensembles for Robust Salmon Re-Identification with Weak Trajectory Labels
Espen Uri Høgstedt, Christian Schellewald, Annette Stahl +1
Salmon re-identification in commercial net-pens is challenging due to large populations, which impose strict accuracy requirements and make large-scale labeled data acquisition inf…
Differential pose optimization in descriptor space -- Combining Geometric and Photometric Methods for Motion Estimation
Andreas L. Teigen, Annette Stahl, Rudolf Mester
One of the fundamental problems in computer vision is the two-frame relative pose optimization problem. Primarily, two different kinds of error values are used: photometric error a…
A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments
Espen Uri Høgstedt, Christian Schellewald, Annette Stahl +1
Computer Vision (CV)-based continuous, automated and precise salmon welfare monitoring is a key step toward reduced salmon mortality and improved salmon welfare in industrial aquac…
Near-Shore Mapping for Detection and Tracking of Vessels
Nicholas Dalhaug, Annette Stahl, Rudolf Mester +1
For an autonomous surface vessel (ASV) to dock, it must track other vessels close to the docking area. Kayaks present a particular challenge due to their proximity to the dock and…
Removing Adverse Volumetric Effects From Trained Neural Radiance Fields
Andreas L. Teigen, Mauhing Yip, Victor P. Hamran +3
While the use of neural radiance fields (NeRFs) in different challenging settings has been explored, only very recently have there been any contributions that focus on the use of N…