To ask how a human goes about face identification is probably an intractable question at present. But to ask how well and with what cues identification can occur is indeed a tractable question. So, too, is the matter of achieving effective machine identification and retrieval.
Lecture Materials
- Slide Deck 1: PowerPoint, PDF
- Slide Deck 2: PowerPoint, PDF
- Figures
Please note that only the figures for which we have permission are included from the textbook. Not all figures are available.
Additional Exercises
Additional exercises to be posted.
Datasets
Please note that we merely provide links to these datasets, and additional permission may be required from the dataset creators to use them. For any questions regarding the datasets, please contact the creators directly.
- NIST Special Databases (SD): SD18, SD32
- Color FERET
- Yale Face Database
- Labeled Faces in the Wild (LFW)
- IMDB-WIKI
Software
Related Books
Stan Z. Li, Anil K. Jain, and Jiankang Deng (Eds.), Handbook of Face Recognition, Third Edition, Springer, 2024.
Additional References
David Anghelone, Cunjian Chen, Arun Ross, and Antitza Dantcheva, Beyond the Visible: A Survey on Cross-Spectral Face Recognition, Neurocomputing 611, 2025.