Dr Philip Culverhouse
Profiles

Dr Philip Culverhouse

Associate Professor in Computer Vision & Robotics

School of Computing, Electronics and Mathematics (Faculty of Science and Engineering)

Qualifications

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, Computer Vision, Design and Problem Solving. ALSO vision guidance for robot football see: Plymouth University Robot Football Facebook page

Research interests

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


Recent publications:

1)     Allsop, T., Kundrat, V., Kalli, K., Lee, G. B., Neal, R., Bond, P., . . . Webb, D. J. (2018). Methane detection scheme based upon the changing optical constants of a zinc oxide/platinum matrix created by a redox reaction and their effect upon surface plasmons. Sensors and Actuators B: Chemical, 255, 843-853. doi:10.1016/j.snb.2017.08.058

Culverhouse, P. F., Pitois, S., Tilbury, J., Bouch, P., Close, H., & Barnett, S. (2018). Comparison of a Cost-Effective Integrated Plankton Sampling and Imaging Instrument with Traditional Systems for Mesozooplankton Sampling in the Celtic Sea. Frontiers in Marine Science. doi:10.3389/fmars.2018.00005

Allsop, T., Lee, G. B., Wang, C., Neal, R., Kalli, K., Culverhouse, P., & Webb, D. J. (2018). Laser-sculpted hybrid photonic magnetometer with nanoscale magnetostrictive interaction. Sensors and Actuators A: Physical, 269, 545-555. doi:10.1016/j.sna.2017.12.021

Mohamed, A., Culverhouse, P. F., De Azambuja, R., Cangelosi, A., & Yang, C. (2017). Automating Active Stereo Vision Calibration Process with Cobots. IFAC PAPERSONLINE, 50(2), 163-168. doi:10.1016/j.ifacol.2017.12.030

Shafait F, Harvey ES, Shortis MR, Mian A, Ravanbakhsh, M, Seager JW, Culverhouse PF, Cline DE, and Edgington DR. (2017). Towards automating underwater measurement of fish length: a comparison of semi-automatic and manual stereo–video measurements. ICES Journal of Marine Science. doi:10.1093/icesjms/fsx007

Allsop, T., Mou, C., Neal, R., Mariani, S., Nagel, D., Tombelli, S., . . . Bennion, I. (2017). Real-time kinetic binding studies at attomolar concentrations in solution phase using a single-stage opto-biosensing platform based upon infrared surface plasmons. Optics Express, 25(1), 39. doi:10.1364/OE.25.000039

Culverhouse, P. F., Williams, R., Gallienne, C., Tilbury, J., & Wall-Palmer, D. (2016). Ocean-Scale Monitoring of Mesozooplankton on Atlantic Meridional Transect 21. JOURNAL OF MARINE BIOLOGY AND AQUACULTURE. doi:10.15436/2381-0750.16.018

Research groups

  • Robotics and Intelligent Systems Lab

Links

  • RAPID website: https://www.facebook.com/Research-on-Automated-Plankton-Identification-141817862551413
  • SCOR WG130 web site: http://www.scor-wg130.net/