On November 4th, 2022 at 2.30 pm Prof. Heikki Kälviäinen, Head of Computer Vision and Pattern Recognition Laboratory (CVPRL) at Department of Computational Engineering LUT University of Finland, will give a seminar on "Computer Vision Applications at LUT University" in DEIB - Seminar Room.

The presentation considers computer vision, especially a point of view of applications. Digital image processing and analysis with machine learning methods enable efficient solutions for various areas of useful data-centric engineering applications. Challenges with domain adaptation, active learning, open set classification, and metric learning of similarities are considered. Different applications are given as examples based on the fresh novel data available: planktons in the Baltic Sea, Saimaa ringed seals in Lake Saimaa, and logs in the sawmill industry. In the first application the motivation is that distributions of plankton types give much information about the condition of the sea water system, e.g., about the climate change. An imaging flow cytometer can produce a lot of plankton images which should be classified into different plankton types. Manual classification of these images is very laborious, and thus, a CNN-based method has been developed to automatically recognize the plankton types in the Baltic Sea. In the second application the Saimaa ringed seals are automatically identified individually using camera trap images for assisting this very small population to survive in nature. CNN-based re-identification methods are based on pelage patterns of the seals. The third application is related to the sawmill industry. The digitalization of the sawmill industry is important for optimizing material flows and the quality. The research is focused on “seeing inside the log” to be able to predict which kinds of sawn boards are produced after cutting the log.