Associate Professor Michael Cree
Qualifications: BSc(Hons) PhD Canterbury MACPSEM MACM SMIEEE
Current PhD Students
Currently Under Examination:
Gehan Anthonys (Jitter in Full-Field AMCW Range Imaging Cameras)
Chief Supervisor for:
Nilakshi Dissanayake (Measurement of UV penetration in floc and floc properties using fluorescence intensity and lifetime techniques)
Amir Mukhtar (Automated Detection of Pedestrians with Disability Aids)
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.
Uche, C., Vyas, M., Thorogood, J., Round, W., & Cree, M. (2019). Monte Carlo simulation of the Compton camera for nuclear medical imaging. Australasian Physical and Engineering Sciences in Medicine, 42, 341.
Perrone, J., Cree, M., & Hedayati, M. (2019). Using the properties of Primate Motion Sensitive Neurons to extract camera motion and depth from brief 2-D Monocular Image Sequences. In International Conference on Computer Analysis of Images and Patterns Vol. 11678 (pp. 600-612). Conference held at Salerno, Italy. doi:10.1007/978-3-030-29888-3_49
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
Alqassab, A. N., Streeter, L., Cree, M. J., Lickfold, C. A., Farrow, V., & Lim, S. H. (2019). Adaptation of Bidirectional Kalman Filter to Multi-Frequency Time-of-Flight Range Imaging. In 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi:10.1109/ivcnz48456.2019.8960962
Find more research publications by Michael Cree
Computing; Electronics; Engineering; Machine Learning
Machine Vision, time-of-flight range imaging
Contact DetailsEmail: [email protected]
Phone: +64 7 838 4301