Kevin Bowyer

Professor Bowyer’s research interests touch on many aspects of computer vision and pattern recognition, including biometrics, data mining, object recognition and medical image analysis. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the IAPR, a Golden Core member of the IEEE Computer Society, and a recipient of an IEEE Technical Achievement Award. He previously served as the EIC of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE Biometrics Compendium, and as General Chair or Program Chair of a number of major conferences. He is General Chair of the 2017 IEEE International Conference on Automatic Face and a Chair of the 2017 CVPR Media Forensics Workshop.

One specific area of focus is face recognition, a technology that has encountered controversy in recent years because of claims of bias, but that is an area Bowyer is working to improve.

“My research is in the general area of computer vision; designing algorithms to extract information from images. This research is fun because it is like putting together a complicated puzzle; finding the causes of accuracy difference is important because it may reveal how accuracy can be improved.”

Kevin Bowyer

Learn more about Kevin Bowyer’s research on face recognition here:

• Article: Notre Dame partners with Securiport on research related to border security
• Research publication: Bowyer et al. (2019). Characterizing the Variability in Face Recognition Accuracy Relative to Race.

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