In this project, which is financed by the Swedish Research Council (VR, 2021-2025), the main focus is on face recognition in historical photos. however, there are also sub projects focusing on sex/gender and age classification, as well as scene object recognition.
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
From Faces to Ages: Enhancing Historical Recognition with Transfer Learning.
Li Li. (2025.
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.
Exploring object detection and classification with deep learning in historical photograph archive.
Siyuan Lai. 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.
Categorization of Historical Photographs using Convolutional Neural Networks.
Aron Freyr Heiðarsson. 2023.
A Study of Face Alignment Methods in Unmasked and Masked Face Recognition.
Jin, Mingyuan. 2023.
Emotion recognition with Deep Learning and its correlation with veracity.
Goodwin, Emma. 2022.
Investigation of Facial Age Estimation using Deep Learning.
Ye, Lufei. 2022.
Detecting Furniture in Images Based on Neural Network Models.
Jiayan Yang. 2022.
Face recognition on historical photographs.
Anil Poudel. 2021.
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.
Object Recognition in Historical Photographs
Aria Assadi Sasansara, Siyuan Lai, Shiran Sun.
2023.
Object identification in historical photographs.
Aron Freyr Heiðarsson, Muhammad Zain Akram.
2022.
Face recognition and ageing.
Ivar Blohm, Yijie Zhou, Congting Lai.
2022.
Emotion detection.
Emma Goodwin.
2021.
Investigation of the Facial Recognition Pipeline for Modern and Historical Photographs.
Christie Courtnage, Mingyuan Jin and Lufei Ye.
2021.
Anders Hast 