Skip to main contentSkip to contextural navigationSkip to main navigationIf you are having problems using this page with a screen reader follow this link for a more compatible version
University of Plymouth home page
home |  Help |  contact us |  sitemap |  search  University Logo

Phil Culverhouse

 

Personal photograph uploaded by Phil Culverhouse

Dr Phil Culverhouse

  • Job title: Associate Professor (Senior Lecturer), School of Computing and Mathematics (Faculty of Science and Technology)
  • Address: A323, 22 Portland Square, Drake Circus,
    Plymouth, Devon, PL4 8AA
  • Email: P.Culverhouse@plymouth.ac.uk


Qualifications & background

University of York: BA (hons) (Biology) 1977

University of Sussex: M.Phil. (Engineering) 1988

University of Plymouth: Ph.D. (Engineering) 1994

 


Teaching interests
 

VLSI design, VHDL, Machine Vision, Design and Problem Solving. ALSO vision guidance for robot football see: Plymouth University Robot Football web site

 


Research interests
Natural Object Categorisation, Machine vision, Expert performance, in situ plankton recognition 

UoP Research group membership

Centre for Robotics and Neural Systems (CRNS) 
Marine and Industrial Dynamic Analysis (MIDAS) 
Marine Institute 
Robotics and Intelligent Systems Lab 

Publications

Some recent and key papers:-

  • Adams SV, T. Wennekers, G. Bugmann, S. Denham and P.F. Culverhouse (2011 in press) Application of Arachnid Prey Localisation Theory for a Robot Sensorimotor Controller. Neurocomputing.

  • MacLeod N, Benfield M & Culverhouse P (2010) Time to Automate Identification. Nature 467. pp. 155-156 9 September 2010.

  • Sieracki, M.E., Benfield, M., Hanson, A., Davis, C., Pilskaln, C.H., Checkley, D., Sosik, H.M., Ashjian, C., Culverhouse, P., Cowen, R., Lopes, R., Balch, W.,  Irigoien, X., (2010) “Optical Plankton Imaging and Analysis Systems for Ocean Observation”, in Proc. "OceanObs’09: Sustained Ocean Observations and Information for Society" Conference (Vol. 2), Venice, Italy, 21-25 September 2009, (Hall, J., Harrison D.E. and Stammer, D., Eds ), ESA Publication WPP-306, 2010.

  •  Bezedes M, Culverhouse P & Oravec M (2009) Facial emotion classification using active appearance model and support vector machine classifier. Machine Graphics & Vision 18(1) pp.21.46.

  • Gibbons P, Mason M, Vicente A, Bugmann G and Culverhouse PF (2009) Optimisation of Dynamic Gait for Small Bipedal Robots. In Proc. 4th Workshop on Humanoid Soccer Robots. A workshop of the 2009 IEEE-RAS Intl. Conf. On Humanoid Robots (Humanoids 2009), Paris(France), 2009, December 7-10 ISBN 978-88-95872-03-2 pp. 9-14.

  • Culverhouse P, Martin S, Talloneau R, Rodier T, Hughes N, Gibbons P and Bugmann G (2009) Vision Processing on the Bunny Robot Humanoid Robot. In Proc. 4th Workshop on Humanoid Soccer Robots. A workshop of the 2009 IEEE-RAS Intl. Conf. On Humanoid Robots (Humanoids 2009), Paris(France), 2009, December 7-10 ISBN 978-88-95872-03-2 pp. 60-65.

  • Wolf J, Vicente A, Gibbons P, Gardiner N, Tilbury J, Bugmann G and Culverhouse P (2009)  in Proc. FIRA RoboWorld Congress 2009, Incheon, Korea, August 16-20, 2009 (Springer Progress in Robotics: ISBN 978-3-642-03985-0) . pp. 25-33.

  • Culverhouse PF. (2007) Human and machine factors in algae monitoring performance. Ecological Informatics 2:361-366.
  • Benfield MC, Grosjean P, Culverhouse PF, Irigoien X, Sieracki ME, Lopez-Urrutia A, Dam HG, Hu Q, Davis CB, Hansen A, Pilskaln CH, Riseman E, Schultz H, Utgoff PE, and Gorsky G (2007) RAPID: Research on Automated Plankton Identification. Oceanography 20(2), pp. 12-26.

  • Culverhouse PF (2006) Natural Object Categorisation: man versus machine, in Automated Object Identification in Systematics: Theory, Approaches, and Applications - N. MacLeod (editor), Systematics Association. CRC Press. Boca Raton. US.
  • Wang H and Culverhouse PF (2004) The Categorisation of Similar Non-rigid Biological Objects by Clustering Local Appearance Patches. Lecture Notes in Computer Science Intelligent Data Engineering and Automated Learning – IDEAL 2004: 5th International Conference, Exeter, UK. August 25-27, 2004. Proceedings, Springer-Verlag Heidelberg ISBN: 3-540-22881-0 p.65-72.
  • Culverhouse PF, Williams R, Reguera B, Herry V, González-Gil S (2003) Do Experts Make Mistakes? Mar-Ecol-Prog-Ser.  247. 17-25.
  • Toth L and Culverhouse PF (1999) “Three dimensional object categorisation from static 2D views using multiple coarse channels”, Image and Vision and Computing, 17 pp.845-858.
  • Ellis RE, Simpson RG, Culverhouse PF and Parisini T (1997) “Committees, collectives and individuals: expert visual classification by neural network”, Neural Computing and Applications, vol. 5, pp. 99–105.
  • Workshop on automatic categorisation of  marine biological material for ecosystem  research and monitoring, (1996) edited by  Phil Culverhouse, Bob Williams and Beatriz Reguera (eds.). University of Plymouth, Plymouth. 1996. ISBN 0 905227 69 7.
  • Culverhouse PF, Williams R, Reguera B, Ellis RE and Parisini T (1996), “Automatic categorisation of 23 species of Dinoflagellate by artificial neural network”, Mar. Ecol. Prog. Ser. vol. 139, pp. 281–287.
  • Simpson RG, Williams R, Ellis RE and Culverhouse PF (1992) , “Biological pattern Recognition by Neural Networks”, Marine Ecology Progress Series, vol. 79: pp. 303–308.
 

Reports & invited lectures

Some recent invited lectures/seminars:-

  •  Culverhouse PF (2005) Natural Object Categorisation: man versus machine, Systematics Association, invited lecture at the Natural History Museum, August 19th 2005.
  • Culverhouse PF (2005) Natural Object Categorisation: man versus machine invited lecture GLOBEC/SPACC workshop on image analysis for zooplankton counting and labelling, 1st-3rd November, San Sebastian, Spain.
  •  Culverhouse PF, Williams R, Gallienne C (2005) HAB Buoy: automatic in situ labelling. Invited lecture GLOBEC/SPACC workshop on image analysis for zooplankton counting and labelling, 1st-3rd November, San Sebastian, Spain.

 



Links