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Computer Vision
To 'see' not only involves taking an image, but also understanding that image: judging distances, interpreting facial expressions and anticipating objects' movements, for example. Computer vision research aims to create intelligent systems that can see and understand a scene as well as humans can—or better, in the case of autonomous driving, medical imaging, defence and aerospace projects, environmental monitoring, manufacturing and surveillance.
We conduct innovative and fundamental research, focused on multiple-view geometry, 3D modelling, dynamic-scene understanding, machine learning and pattern recognition. Globally, we are the 'centre of excellence' for this kind of research. We research novel theories and algorithms, and develop artificial vision systems that extract useful information from images and video sequences to perform wide-ranging tasks, from enabling blind people to see with the aid of a bionic eye, to quickly building a 3D model of a city. Through the establishment of the ARC Centre for Robotics Vision at ANU and other Australian institutions, our academics and research students have access to cutting-edge facilities and resources to explore new ideas and technologies.
Explore our available student research projects below and if you’d like to discuss opportunities for collaboration or funding, please email us.
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Academic staff
Hongdong Li »
Professor, Computer Vision |Machine Learning |Robotics |AI , Associate School Director (Research), ANU RSEEME, Chief Investigator for ARC CoE ACRV, IEEE T-PAMI Editor
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