Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP0878801]Researchers: A/Prof Alireza Bab-Hadiashar (Chief Investigator) , David Suter (Chief Investigator)
Brief description Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc.
Funding Amount $422,000
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP0878801
- ARC : DP0878801