Dr Lee Streeter
Qualifications: PhD Waikato, MSc Physics Waikato
Time-of-flight range image metrology. Image processing. Numerical methods.
Dr Streeter's research interests focus on and about time-of-flight range imaging. His current project is on solving the 'problem of motion', to correct motion blur and transform it into simultaneous distance and motion measurement. He is interested in time-of-flight in general, and has worked on all majors form of error in time-of-flight range imaging.
Find out more about Lee's Marsden grant awarded for his time-of-flight photography research: http://bit.ly/1MvrDu0
- Machine Learning for Time-of-Flight Range Imaging
Machine learning is a hot topic today. Training computers to make decisions based on data is seeing wide uptake across many fields and industries. This open ended research problem is to apply current trends in machine learning to optimise time-of-flight range measurement.
- The Systems Engineering of Error Correction in Time-of-Flight Range Imaging.
The UoW range imaging group leads the way internationally on understanding and improving time-of-flight range imaging. We have developed solutions to all the major error sources. However, an outstanding question is how to bring the existing solutions all together. Many appear incompatible with each other, and a significant research question is how to bring them together, solving multiple error sources at the same time.
- Noise and Precision Optimisation in Time-of-Flight Range Imaging.
Time-of-Flight cameras, like any electronic device, have random error. This random error means that an object at, say, 2 metres from the camera might be measured slightly closer or further from the camera, and that error is unpredictable causing uncertainty. Mitigation of this error is key to producing the best possible range measurements. The research question is to draw from statistics and other sources of knowledge to best understand how random effects cause uncertainty and how to reduce their impact.
- Motion Measurement/Velocimetry
- Applications of Depth Imaging
Depth cameras provide rich information of objects within their field of view. The sky is the limit for new applications of depth imaging. Engineering solutions to problems might include behaviour analysis, human computer interface, security applications, health applications (ToF cameras operate in the infrared which can see into and beneath skin), tomographic imaging, etc.
Streeter, L., & Cree, M. J. (2018). Classifying Transverse Motion in Time-of-Flight Range Imaging. In 3D Image Acquisition and Display: Technology, Perception and Applications 2018. Orlando, Florida, United States: OSA Publishing. doi:10.1364/3D.2018.3W2G.4 Open Access version: https://hdl.handle.net/10289/11982
Streeter, L. (2018). Time-of-Flight Range Image Measurement in the Presence of Transverse Motion Using the Kalman Filter. IEEE Transactions on Instrumentation and Measurement, 67(7). doi:10.1109/TIM.2018.2800918
Streeter, L. V. (2017). Methods for linear radial motion estimation in time-of-flight range imaging. In Proceedings Volume 10332, Videometrics, Range Imaging, and Applications XIV Vol. 10332. Internationales Congress Center, Munich, Germany. doi:10.1117/12.2269550 Open Access version: https://hdl.handle.net/10289/11755
Streeter, L. V. (2017). Stochastic calculus analysis of optical time-of-flight range imaging and estimation of radial motion. Journal of the Optical Society of America A, 34(7), 1063-1072. doi:10.1364/JOSAA.34.001063 Open Access version: https://hdl.handle.net/10289/11523
Contact DetailsEmail: lee dot streeter at waikato.ac.nz
Phone: +64 7 838 4106