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Category: 3D Modelling
The members of the ACVT have been working on recovering shape information from image sets for more than 15 years. Originally stereo and optical flow were the focus, but more recently we have been working a wide range of projects from interactive 3D modelling from image sets to modelling plants from images taken within the Plant Accelerator. Much of the work undertaken in this area has been aimed at making the process of 3D content creation much simpler and accessible. The concept of “User Created Content” is key driver in the research. This has application in a broad range of markets including media and entertainment, simulation, advanced manufacturing etc. This work also important to the area of Augmented Reality.
ISMAR prize
The paper Real-time Modelling for AR Applications won second prize in the best paper awards at the International Symposium on Mixed and Augmented Reality 2010 in Seoul, Korea. The paper describes a method for generating 3D models of objects which requires minimal user interaction. The motivation was the desire to allow users to create special […]
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3D User-Created Content in Saarbruecken
Well actually Anton van den Hengel gave a talk at the Max Planck Center for Visual Computing and Communication in Saarbreuken (Germany) about 3D User-Created Content (3DUCC). Anton was in Saarbrueken visiting the Computer Graphics Department of Max-Planck-Institut für Informatik there, and particularly the group of Dr. Thorsten Thormaehlen. Thorsten was instrumental in the development of Videotrace […]
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Videotrace wins at iAwards
Videotrace and Punchcard, the company commercialising it won the Research and Development category of this year’s South Australian iAwards. The iAwards are Australia’s premier technology innovation awards program. TheAustralian Information Industry Association (AIIA) has hosted the awards for 16 years, with this year’s awards sponsored by Fujitsu, KPMG, IBM, and Microsoft, amongst others.
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Videotrace in Tech23
Punchard, the company commercialising Videotrace, has been selected as one of the 23 ICT companies to participate in this year’s Tech23 event. Tech23 is run by Slattery IT, and offers 23 of Australia’s most innovative companies a five-minute time-slot to show off their business model to an audience of 400+ potential investors, mentors, entrepreneurs and customers.
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Real-Time Special Effects in Live Video (LP100100792)
ACVT has been awarded a 3 year ARC Linkage Grant valued at $282,217. The industry partner on the grant is Canon Information Systems Research Australia. CiSRA is the Australian R&D Centre for Canon Inc., a world leader in professional business and consumer imaging equipment and information systems. The CIs on the project are Prof. Anton van […]
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Image search for simulator content creation (LP100100791)
ACVT has been awarded a 3 year ARC Linkage Project valued at $300,000. Sydac, a leading Australian Simulation company is the industry partner. The CIs on the project are Prof. Anton van den Hengel and Dr Anthony Dick. 3D content creation represents one of the most labour intensive stages of the process of constructing virtual […]
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ACVT at ISMAR 2009
Anton van den Hengel recently attended ISMAR 2009 in Orlando, Florida, presenting; In Situ Image-based Modeling by Anton van den Hengel, Rhys Hill, Ben Ward, and Anthony Dick.
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Structure From Image Sets
The members of the ACVT have been working on recovering shape information from image sets for more than 15 years. Originally stereo and optical flow were the focus, but more recently we have been working a wide range of projects from interactive 3D modelling from image sets to modelling plants from images taken within the […]
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Combined shape and appearance descriptors for visual object recognition (DP0988439)
ACVT has been awarded a 3 year ARC Discovery Grant valued at $200,000. The CIs are Prof. Anton van den Hengel and Dr Anthony Dick. The quantity of video generated each year is expanding rapidly. This increasing volume of visual information means that it is more likely that any particular event will be recorded, but […]
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Statistical Methods of Model Fitting and Segmentation in Computer Vision (DP0878801)
Prof. David Suter (then of Monash University) and Professor A Bab-Hadiashar have been awarded a 4 year ARC Discovery Grant valued at $422,000. 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, […]
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