Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise deve ....Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise developed from the project will provide a competitive edge for Australian industries in aerospace, oceanography, robotics, remote sensing, and biomedical engineering. Read moreRead less
Quantitative multi-modal optical imaging of deep tissue. This project aims to create new tools to quantify the structural and functional properties of tissue. Combining multiple optical imaging technologies (multi-modal) into a single, miniaturised probe, these tools could enable physiologists and biomedical researchers to obtain new insight into disease. Encasing the highly miniaturised probe within a medical needle is aimed to allow insertion of the 'needle probe' deep into tissue, extending o ....Quantitative multi-modal optical imaging of deep tissue. This project aims to create new tools to quantify the structural and functional properties of tissue. Combining multiple optical imaging technologies (multi-modal) into a single, miniaturised probe, these tools could enable physiologists and biomedical researchers to obtain new insight into disease. Encasing the highly miniaturised probe within a medical needle is aimed to allow insertion of the 'needle probe' deep into tissue, extending optical imaging to areas not previously accessible. The project could develop novel quantification models to allow longitudinal assessment and comparison between subjects. Validating the tools with specific biomarkers, it could provide outcomes in breast and liver cancer, and a framework to explore other diseases.Read moreRead less
Single and dual process models of recognition memory: Reconciliation of behavioural, electrophysiological, and neuroimaging data. Advanced brain scanning technologies are increasingly used to study human memory. As well as being important for our basic understanding of memory, they also tell us how memory is affected by normal development, ageing, disease, and injury. Unfortunately, because these technologies are so new, a gap has opened up between our psychological understanding of memory and t ....Single and dual process models of recognition memory: Reconciliation of behavioural, electrophysiological, and neuroimaging data. Advanced brain scanning technologies are increasingly used to study human memory. As well as being important for our basic understanding of memory, they also tell us how memory is affected by normal development, ageing, disease, and injury. Unfortunately, because these technologies are so new, a gap has opened up between our psychological understanding of memory and the physiological events measured by the scanning technologies. This has created a problem for how we should interpret the results that are found. The present project aims to close this gap by applying new research methodologies and theoretical insights based on our previous research.Read moreRead less
A nanoengineered solution to drug delivery in bone. This project presents an exciting new approach of applying nanotechnology to bone research. By combining our expertise in nanoengineering of new materials, mathematical modelling and bone biology, this project will result in a well-characterised model for drug delivery into bone and lead to a new therapeutic approach for treating bone diseases.