Hur kan maskinell teknik hjälpa till att tyda gamla handskrifter? Föreläsning av Anders Hast, Uppsala universitet. ABM‐seminarium om handskriftstydning. 4 april, 2019, kl 13‐16 i Länsmuseets hörsal, Gävle.
Published by Anders
Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor and in 2019 he became professor in image processing, both at Uppsala University. He has been affiliated with UPPMAX super computer centre where he worked as an application expert in Scientific Visualisation and later in the field of digital humanities together with the Centre for digital humanities in Uppsala. His recent research has focused on image processing and computer vision, for applications in microscopy, aerial photography, object recognition and especially hand written text recognition and face recognition. View all posts by Anders
Anders Hast 