Computer Vision Laboratory (CVL)

Welcome to the Computer Vision Laboratory (CVL), part of the Department of Electrical engineering at Linköping University.

Autonoma system datorseendePhoto: Göran BillesonThe research at the Computer Vision Laboratory (CVL) covers a wide range of topics within artificial visual systems (AVS): computational imaging; detection, tracking and recognition of objects; estimation of pose and 3D structure; robot vision and autonomous systems; medical imaging.


The design of AVS has its roots in the modelling of the human visual system (HVS) and CVL aims at improving AVS capabilities substantially, driven by an HVS-inspired approach. This choice is compellingly motivated by the fact that AVS are supposed to coexist with – and therefore predict actions of – humans, e.g. regarding self-driving cars sharing road space and interacting with humans.

Courses

Courses given by the Division of Computer Vision Laboratory

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2022

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck (2022) Steerable 3D Spherical Neurons Proceedings of the 39th International Conference on Machine Learning , s. 15330-15339

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