An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition

Justin Norman, Hany Farid; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 4306-4314

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.

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[bibtex]
@InProceedings{Norman_2024_CVPR, author = {Norman, Justin and Farid, Hany}, title = {An Investigation into the Impact of AI-Powered Image Enhancement on Forensic Facial Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4306-4314} }