An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition
Abstract
Advances in machine learning and computer vision have led to significant improvements in automated facial recognition. Many real-world forensic settings, however, are confronted with challenging low-quality and low-resolution images that often confound even state-of-the art facial recognition. We investigate if and when advances in neural-based image enhancement and restoration can be used to restore degraded images while preserving facial identity for use in forensic facial recognition.
Cite
Text
Norman and Farid. "An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024. doi:10.1109/CVPRW63382.2024.00434Markdown
[Norman and Farid. "An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024.](https://mlanthology.org/cvprw/2024/norman2024cvprw-investigation/) doi:10.1109/CVPRW63382.2024.00434BibTeX
@inproceedings{norman2024cvprw-investigation,
title = {{An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition}},
author = {Norman, Justin and Farid, Hany},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2024},
pages = {4306-4314},
doi = {10.1109/CVPRW63382.2024.00434},
url = {https://mlanthology.org/cvprw/2024/norman2024cvprw-investigation/}
}