Dr Matthew McGuigan
I am a Research Fellow in Computer Science at the University of Exeter.
See my TV interview for the solar eclipse here:
Latent print extraction apparatus and method. WO2023007132A1 WIPO (PCT). Patent link
Publications:Fingerprint Research:
Contactless automated lifting of latent fingerprints from difficult curved surfaces. McGuigan, M. and Christmas, J. (2022). Contactless automated lifting of latent fingerprints from difficult curved surfaces, Elsevier Signal Processing: Image Communication, Volume 109, November 2022, 116858.
Remote Extraction of Latent Fingerprints (RELF). McGuigan, M. and Christmas, J. (2020). Remote Extraction of Latent Fingerprints (RELF), IEEE World Congress on Computational Intelligence, July 2020.
Image Processing and Machine Learning:
Automating RTI: Automatic light direction detection and correcting non-uniform lighting for more accurate surface normals. McGuigan, M. and Christmas, J. (2020). Automating RTI: Automatic light direction detection and correcting non-uniform lighting for more accurate surface normals, Elsevier Computer Vision and Image Understanding, Volume 192, March 2020, 102880.
Technical Report:
Benning M., Bonthrone L., Carr T., Dyer J., Malip A., McGuigan M., Puiu A., Tian Y., Wendland A., Yang L. (2019). Identifying Potential Hardening Techniques for Image Classifiers - Cryptanalysis in Machine Learning, Defence Science and Technology Laboratory (DSTL), United Kingdom (UK), pp. 1-31.
My research involves the estimation of an object’s shape and the contactless detection of fingerprints from photographs using machine learning and artificial intelligence approaches.
