Visual Computing Otago

Brendan McCane

Brendan's research interests include computer vision, pattern recognition, machine learning, biomedical imaging, and robotics. His current research focuses on theoretical understanding of the effectiveness of deep networks, and self-learning for robots.

Steven Mills

Steven's research interests are in computer vision, and particularly in the reconstruction of 3D scenes from multiple views. He is also interested in related fields such as motion analysis, stereo vision, and image based rendering.

Stefanie Zollmann

Stefanie's main research interest within the field of Visual Computing is Situated Visualisation, where digital data needs to be seen in its spatial context. This has applications in geospatial data visualisation, sports broadcasting, construction, and archaeology.

Lewis Baker

Lewis' PhD Research is investigating tracking and localisation to support augmented reality for shared spectator expeciences.

Tapabrata Chakraborti

Tap's PhD research examines the use of collaborative representations for fine grained recognition.

Holger Regenbrecht

Holger's research interests include Human-Computer Interaction (HCI), Applied Computer Science and Information Technology, (collaborative) Augmented reality, 3D Teleconferencing, psychological aspects of Mixed Reality, three-dimensional user interfaces (3DU) and computer-aided therapy and rehabilitation.

Tobias Langlotz

Tobias' main research interests are in Human-Computer Interaction and Ubiquitous Computing. Recently, he has been working on mobile telepresence solutions allowing people to share their environment with remote users relying only on mobile and wearable devices. Tobias is also working on novel head-mounted display technology for Augmented Reality and is currently investigating Computational Glasses using head-mounted displays for managing visual impairments.

David Eyers

David is also member of the Systems Research Group, but many of the techniques he studies find application in computer vision and computer graphics. This includes parallel, distributed, and heterogenous computation for large-scale computer vision tasks and co-operative processing among distributed sensors.