3D Vision Geometric Optimisation in Deep Learning

    Project: Research

    Project Details

    Description

    This project aims to develop a methodology for integrating the algorithms of 3D Vision Geometry and Optimization into the framework of Machine Learning and demonstrate the wide applicability of the new methods on a variety of challenging fundamental problems in Computer Vision. These include 3D geometric scene understanding, and estimation and prediction of human 2D/3D pose and activity. Applications of this technology are to be found in Intelligent Transportation, Environment Monitoring, and Augmented Reality, applicable in smart-city planning and medical applications such as computer-enhanced surgery. The goal is to build Australia's competitive advantage in the forefront of ICT research and technology innovation.
    StatusActive
    Effective start/end date19/08/2016/12/24

    Funding

    • Australian Research Council (ARC): A$410,653.00

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