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:
Journal papers:
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, Published in Elsevier Signal Processing: Image Communication. Volume 109, November 2022, 116858.
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, Published in Elsevier Computer Vision and Image Understanding. Volume 192, March 2020, 102880.
Conference paper:
Remote Extraction of Latent Fingerprints (RELF). McGuigan, M. and Christmas, J. (2020). Remote Extraction of Latent Fingerprints (RELF), Published in IEEE World Congress on Computational Intelligence. July 2020.
Technical report for Defence Science and Technology Laboratory (Dstl):
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.
