3D Pose Estimation for Seabirds
While 3D pose estimation for humans is well studied, for birds it is a largely unexplored research field with its own challenges, such as strong changes of the bird’s volume, highly articulated wings and feathers, and limited labeled training data. The goal of this project is to explore the transferability of recent advances in 3D human pose estimation to the existing dataset of seabirds.
Your organization: Linköping University, Computer Vision Laboratory, Swedish Agricultural University
Contact person: Bastian Wandt, firstname.lastname@example.org
Preferred student background: Knowledge of Machine Learning and Computer Vision
Preferred location: Location is Linköping University, Computer Vision Laboratory.