In this project, which is financed by the Swedish Research Council (VR, 2023-2028), my part is focusing on age classification in face photos and is therefore closely related to the City Faces Project.

Papers

Improving Face Image Retrieval in Historical Archives: Fusion of Mirrored Images and Better Consensus Ranking. A. Hast. R. Lennartsson, M. Hayen ACIVS 2025.

Analysis of Age Invariant Face Recognition Efficiency using Face Feature Vectors.
Anders Hast, Yijie Zhou, Congting Lai and Ivar Blohm.
ROBOVIS 2024, held in conjunction with ICAART 2024, ICPRAM 2024 and VISIGRAPP 2024. Rome, Italy. pp 47-65, 2024.

Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers.
A. Hast.
Advanced Concepts for Intelligent Vision Systems. In: Blanc-Talon, J., Delmas, P., Philips, W., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2023. Lecture Notes in Computer Science, vol 14124. Springer, Cham. . Presented at ACIVS2023, Kumamoto  Japan, Accepted full paper.  pp 88-99. 2023.

Sex Classification of Face Images using Embedded Prototype Subspace Classifiers.
A. Hast.
Proceedings of the 31th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, Plzen, Czech Republic, May 15 – 19. Full paper. pp. 43-52. 2023.

Consensus Ranking for Efficient Face Image Retrieval: A Novel Method for Maximising Precision and Recall.
A. Hast.
In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing – ICIAP 2023. ICIAP 2023. Lecture Notes in Computer Science, vol 14233. Springer, Cham.
Presented at the 22nd International Conference on Image Analysis and Processing. Udine, Italy.
pp. 159-170.  2023.

Master Thesis Projects

Dual-Path Attention Fusion with Enhanced Depthmap for Face Frontalization
Lepeng Wang, 2025.

Face recognition for kinship verification – Evaluating machine learning methods for identifying familial relationships.
Simon Oscarsson. 2024.

Comparative analysis of machine learning approaches for facial age estimation in specific age intervals. Robert Ginlund, Ongoing project, 2024.

Age Estimation and Facial Recognition: A Critical Analysis of Accuracy, Bias, and Ethical Implications in AI Systems
Sushruth Badri. 2024.

Resurrection of Our Ancestors: 3D face reconstruction of historical images and its use in face recognition.
Moa Li Lekander. 2023.

A Study of Face Alignment Methods in Unmasked and Masked Face Recognition.
Jin, Mingyuan. 2023.

Bachelor Degree Projects

Enhancing Face Recognition Pipelines.
Truls Karlsson. 2024.

Face Reconstruction from Feature Vectors –
using a GAN-Based Method.
Liv Olofsson. 2024.


Course Projects

A Modified Pipeline For Face Recognition
Tyra Axén & Hanna Ericsson, 2025.

Learning Kinship from Face Recognition
Yizhi Liu, Li Li, Samir Mehdiyev, 2024.

Learning face recognition from anchor points
Oscar Boman, Daniel Cada, 2024.

Face Recognition Pipeline Using Deepface and Insightface Using Deepface and Insightface
Hemavathi Hanasoge Siddaiah, Zeeshan Majeed. 2023

Face recognition and ageing.
Ivar Blohm, Yijie Zhou, Congting Lai. 2022.

Unknown's avatar

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.

Leave a comment