Machine vision has many decades of development with notable successes, however the hard problems, namely intelligent vision in dynamic, varied and uncontrolled environments, largely remain unsolved. At the University of Waikato we are making use of three advanced technology domains to solve these problems: the use of the modern deep learning techniques for species identification, the replication of the primate and human visual system in computer hardware to develop an intelligent visual sensor for robotic navigation, and the development of novel time-of-flight full-field imaging techniques that are both robust to and also exploit motion in the scene. These technologies have substantial potential to solve some of the difficult problems in machine vision that are necessary for autonomous mobile robotic and drone operation, and for intelligent industrial inspection.
Dr. Michael Cree is an Associate Professor in Electronic Engineering who specializes in machine vision including retinal imaging, 3D time-of-flight range imaging and biological approaches to visual odometry. Dr Cree has over 120 refereed journal and conference publications, and is co-editor of the text `Automated Image Detection of Retinal Pathology' published by CRC Press. He is currently involved in three major research projects funded by the Ministry of Business, Innovation and Employment. Dr Cree is a member of ACPSEM, member of the ACM and a senior member of the IEEE.