Computer vision and computer graphics

Computer vision is the science and technology behind teaching a computer to interpret images and video as well as a typical human.

Computer vision algorithm trained to detect hands. Image by Greg Roberts
Computer vision algorithm trained to detect hands. Image by Greg Roberts

Vision, our primary source of information about our physical environment, exploits the inherent abilities of the human brain to combine and interpret a constant flow of images perceived by our eyes. 

The fields of computer vision and computer graphics deal with the acquisition, processing, analysis and rendering of visual information in different representations such as images, videos, volumetric data, and 3D models. This includes disciplines such as image processing, medical imaging, video processing, pattern recognition, visualisation, virtual and augmented reality, computer games, and includes aspects of human computer interaction and machine learning. 

Computer vision mimics human vision with computational techniques and explores challenging tasks such as recognition, localisation and mapping of individual objects of interest, scene characterisation, and integrative scene understanding, to mention a few. Researchers in this field focus on IT, security and mobile applications in areas of particular relevance to New Zealand, especially in critical sectors such as forestry, farming, health, marine science and environmental conservation.

Computer graphics involves the generation, rendering, and use of 3D representations. Researchers in this field work on all aspects of computer graphics, and are particularly interested in 3D modelling (procedural, sketch-based, image-based), serious games (for education and health interventions), innovative AR/VR solutions (for training, education, skill development), scientific and biomedical visualisation, and effective applications (e.g. in robotics).

Our researchers