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Field of Research : Computer Graphics
Field of Research : Image Processing
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  • Researchers (6)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0557157

    Funder
    Australian Research Council
    Funding Amount
    $293,000.00
    Summary
    A New Approach to Studying Whole Bodies and Body Parts Applied to Problems of Forensic Science. To bring to the study of whole humans and human body parts, new methods capable of major advances such as those already provided by DNA technology in the study of human tissues, cells and molecules. This will allow better identification of human groups, geographic populations, gender differences and ageing. To update facilities in forensic sciences strengthening Australian security systems thus he .... A New Approach to Studying Whole Bodies and Body Parts Applied to Problems of Forensic Science. To bring to the study of whole humans and human body parts, new methods capable of major advances such as those already provided by DNA technology in the study of human tissues, cells and molecules. This will allow better identification of human groups, geographic populations, gender differences and ageing. To update facilities in forensic sciences strengthening Australian security systems thus helping fight terrorism and crime. To establish international collaborations for Australia, especially with Asia. To train young people, through Master's and Doctoral degrees programmes, in handling the new techniques and applying them to problems of forensic science
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    Funded Activity

    Discovery Projects - Grant ID: DP0346475

    Funder
    Australian Research Council
    Funding Amount
    $218,720.00
    Summary
    A Computer-Aided Cartooning System. This project is aimed at developing a computer-aided system to accelerate main image-related processes in cartoon production. Using such a system, many of the tedious and repetitive tasks can be performed semi-automatically. The project is focused on accurate representation and matching of shapes. New vectorization methods based on projection onto convex sets (POCS), and new matching methods based on multi-stage hierarchical structures will be developed. The t .... A Computer-Aided Cartooning System. This project is aimed at developing a computer-aided system to accelerate main image-related processes in cartoon production. Using such a system, many of the tedious and repetitive tasks can be performed semi-automatically. The project is focused on accurate representation and matching of shapes. New vectorization methods based on projection onto convex sets (POCS), and new matching methods based on multi-stage hierarchical structures will be developed. The targeted applications include entertainment, next generation mobile services, and the internet.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100588

    Funder
    Australian Research Council
    Funding Amount
    $805,000.00
    Summary
    Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform th .... Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform the outcomes of this project into widely-used software solutions. The project will pave the way for more widespread and reliable evidenced-based computer-aided diagnosis and image-guided treatment. It will produce well-trained and sought-after graduates and research associates with extensive inter-disciplinary knowledge of medical image analysis and high-performance computing.
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