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Learnable Camera Motion Models

This project started January 2015.
The project runs for four years, and is funded by The Swedish Research Council (VR).

People

The principal investigator for this project is Per-Erik Forssén.
The project also employs the PhD student Hannes Ovrén.

Research Topic

In this project, we will develop continuous camera motion models that can be adapted to specific situations through learning. Such models are needed in video stabilisation and rectification on mobile platforms. They are also useful for control of motorised gimbals that mechanically stabilise the camera aim.

The project is a continuation of the VGS project.

More information will follow soon.

Datasets

Publications


Senast uppdaterad: 2016-08-08