Stephen McKenna's research interests include the development and application of computer vision, pattern recognition and machine learning methods in domains such as intelligent human-computer interaction, content-based image browsing, medicine and biology. He co-authored the book Dynamic Vision and has published more than 100 articles. He is an Associate Editor for the journals Machine Vision and Applications and Pattern Analysis and Applications. Details of his research, teaching and related activities can be accessed using the tabs at the top of this page.

Selected recent publications:

• Wang R, McKenna S J, Han J, Ward A A, “Visualizing Image Collections using High-Entropy Layout Distributions”, IEEE Transactions on Multimedia, December 2010
• Roberts T, McKenna S J, Du C-J, Wuyts N, Valentine T, Bengough A G, ""Estimating the Motion of Plant Root Cells from in vivo Confocal Laser Scanning Microscopy Images”, Journal of Machine Vision and Applications 21: 921-939, 2010 The original publication will be available at www.springerlink.com
• Seise M, McKenna S J, Ricketts I W, Wigderowitz C A, "Parts-based Segmentation with Overlapping Part Models using Markov chain Monte Carlo”, Image and Vision Computing 27 (5), 504-513, 2009
• Han J, McKenna S J, Wang R, "Regular texture analysis as statistical model selection”, European Conference on Computer Vision, Marseille, France, 12-18 October 2008