I presented the following paper:
Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers. A. Hast. Advanced Concepts for Intelligent Vision Systems. ACIVS2023, Kumamoto Japan, Full paper. pp 1-12. 2023.
I also visited professor Koichi Kise, Osaka Metropolitan University, Haemi Park, Sophia University in Tokyo, and Emi Yuda and colleagues, Tohoku University. The latter two research visits was the result of participating in MIRAI 2.0 in Fukuoka 2022. One outcome was an application for funding at the Tohoku University, which has been submitted.
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.
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Anders Hast 