Publication

Will your doorbell camera still recognize you as you grow old?

Yao, Wang
Farooq, Muhammad Ali
Lemley, Joseph
Corcoran, Peter
Citation
Yao, W., Farooq, M. A., Lemley, J., & Corcoran, P. (2023, August 2). Will your doorbell camera still recognize you as you grow old?. Irish Machine Vision and Image Processing Conference 2023 (IMVIP2023), University of Galway, Ireland. https://doi.org/10.5281/zenodo.8208368
Abstract
Robust authentication for low-power consumer devices such as doorbell cameras poses a valuable and unique challenge. This work explores the effect of age and aging on the performance of facial authentication methods. Two public age datasets, AgeDB and Morph-II have been used as baselines in this work. A photo-realistic age transformation method has been employed to augment a set of high-quality facial images with various age effects. Then the effect of these synthetic aging data on the high-performance deep-learning-based face recognition model is quantified by using various metrics including Receiver Operating Characteristic (ROC) curves and match score distributions. Experimental results demonstrate that long-term age effects are still a significant challenge for the state-of-the-art facial authentication method.
Publisher
Irish Machine Vision and Image Processing Conference
Publisher DOI
Rights
CC BY