Holobody: Advancing the Future of Mixed Reality Technologies. This project aims to advance our understanding and use of mixed reality technologies by pioneering a new approach to interaction in virtual systems that recognises, capitalises on, and expands the potential of the human body as a human-machine interface. The project expects to apply the unique, embodied methodologies of dance and movement technology, integrated with customised software, advanced visualisation and artificial intelligen ....Holobody: Advancing the Future of Mixed Reality Technologies. This project aims to advance our understanding and use of mixed reality technologies by pioneering a new approach to interaction in virtual systems that recognises, capitalises on, and expands the potential of the human body as a human-machine interface. The project expects to apply the unique, embodied methodologies of dance and movement technology, integrated with customised software, advanced visualisation and artificial intelligence, to develop next-generation principles of embodied interaction in virtual systems. Expected outcomes are improved assistive technology, new prototyping techniques for manufacturing, and improved productivity through interactive and immersive systems, benefiting Australian businesses, healthcare and the arts.Read moreRead less
Archiving Australian Media Arts: Towards a method and national collection. The early years of Australian digital media arts heritage are at risk. Australians were significant contributors to the development of media arts internationally, as well as making and exhibiting work nationally, yet only a tiny portion of the digital artwork by Australian artists has made it into institutional collections. Deteriorating disks and reliance on obsolete hardware and software mean that innovative digital pre ....Archiving Australian Media Arts: Towards a method and national collection. The early years of Australian digital media arts heritage are at risk. Australians were significant contributors to the development of media arts internationally, as well as making and exhibiting work nationally, yet only a tiny portion of the digital artwork by Australian artists has made it into institutional collections. Deteriorating disks and reliance on obsolete hardware and software mean that innovative digital preservation and access solutions are needed if these artworks are to be saved. Working with key cultural institutions, this project will conserve key media art case studies from the archives of media arts organisations, and develop a best practice method for the preservation of our digital media arts heritage.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100973
Funder
Australian Research Council
Funding Amount
$367,983.00
Summary
Skills development and transfer in the digital gaming sector. This project aims to examine the transferability and sustainability of videogame development skillsets to the broader digital sector. The project will lead to future job creation, and to cultural and economic innovation in Australia.
Theory and applications of three dimensional fractal transformations. The purpose of this project is to develop the theory and algorithms for a new class of continuous mappings between fractals. Outcomes include a better understanding of fractals, substantially better algorithms for fractal compression and many new applications.
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less
The games and the wider interactive entertainment industry in Australia: an inquiry into sources of innovation. Games and interactive entertainment are flagship digital industries of the present and future which no advanced economy and digitally enabled society can afford not to engage with. Apart from their evident popularity, and proven growth and export potential, they have provided many models and templates for educational technology. The project will assist the local games and interactive e ....The games and the wider interactive entertainment industry in Australia: an inquiry into sources of innovation. Games and interactive entertainment are flagship digital industries of the present and future which no advanced economy and digitally enabled society can afford not to engage with. Apart from their evident popularity, and proven growth and export potential, they have provided many models and templates for educational technology. The project will assist the local games and interactive entertainment sector to source international good practice models, to identify potentially new sources of innovation, such as arts practices not traditionally associated with these industries, and contribute a richly detailed case study providing evidence for why the creative industries should be an integral part of the national innovation system.Read moreRead less
Detecting the deaths of the first stars: Investigating the physical processes in the early Universe. This project will pursue the most distant supernova explosions in the Universe and investigate their host galaxies and environments. It will use a technique that has detected the most distant supernovae, probing 12 billion years into the past, and one that is able to discover, for the first time, the deaths of the first stars to have formed after the Big Bang. This project will use this technique ....Detecting the deaths of the first stars: Investigating the physical processes in the early Universe. This project will pursue the most distant supernova explosions in the Universe and investigate their host galaxies and environments. It will use a technique that has detected the most distant supernovae, probing 12 billion years into the past, and one that is able to discover, for the first time, the deaths of the first stars to have formed after the Big Bang. This project will use this technique to gather a statistical sample of supernovae to determine their occurrence rate and physical properties and to provide crucial data for a newly discovered, extremely powerful, third type of supernova. This data will test the laws in which early galaxies formed their stars and reveal the framework for the subsequent evolution of the Universe.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101365
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid inform ....In-person tele-presence through hybrid camera networks. This project aims to develop novel theories and algorithms for live capturing of accurate dense 3D models of moving subjects based on hybrid camera networks. The latter consist of a mix of static external red, green, blue plus depth (RGB-D) cameras and a dynamic head-mounted regular camera. The scientific novelties will be dense, non-rigid, and collaborative structure-from-motion theories that maximise the exploitation of such hybrid information, for instance by utilising exact head-pose information. The outcome is a working prototype producing live full-body animations, thus leveraging new applications in the Information Technology industry. Highly strategically relevant examples are given by 3D tele-presence, enhanced tele-operation, robotics, and intelligent transportation systems.Read moreRead less