Associate Professor Michael Cree
Associate Professor
Qualifications: BSc(Hons) PhD Canterbury MACPSEM MACM SMIEEE
Papers Taught
Research Supervised
Current PhD Students
Gehan Anthonys (Jitter in Full-Field AMCW Range Imaging Cameras)
Nilakshi Dissanayake
Harpreet Kaur
Amir Mukhtar (Automated Detection of Pedestrians with Disability Aids)
Mark Wang
Research Interests
I am an active member of the Waikato Robotics, Automation and Sensing (WaiRAS) Research Group.
My research interests mainly focus around image processing and machine vision including medical and retinal imaging, 3D time-of-flight range imaging and pattern recognition.
Recent Publications
Anthonys, G., Cree, M. J., & Streeter, L. (2019). Signal processing approaches for jitter extraction in Time-of-Flight Range Imaging cameras. In 2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings. doi:10.1109/ICSPCS.2018.8631708 Open Access version: https://hdl.handle.net/10289/12777
Lickfold, C. A., Streeter, L., Cree, M. J., & Scott, J. B. (2019). Frequency Based Radial Velocity Estimation in Time-of-Flight Range Imaging. In 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi:10.1109/ivcnz48456.2019.8961021
Perrone, J., & Cree, M. (2019). Extracting Self-Motion and 3-D Depth Information From 2-D Video Sequences Using the Properties of Primate Motion-Sensitive Neurons. In Perception Vol. 48 (pp. 184). SAGE Publications. Retrieved from http://gateway.webofknowledge.com/
Anthonys, G., Cree, M., & Streeter, L. (2019). Jitter measurement in digital signals by using software defined radio technology. In 2019 IEEE International Instrumentation & Measurement Technology Conference. Conference held Auckland, New Zealand. doi:10.1109/I2MTC.2019.8826908 Open Access version: https://hdl.handle.net/10289/13014
Find more research publications by Michael Cree
Keywords
Computing; Electronics; Engineering; Machine Learning
Machine Vision
Contact Details
Email: michael.cree@waikato.ac.nzRoom: DE.2.02
Phone: +64 7 838 4301