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Monthly Archives: June 2010

ACVT Reading Group

The ACVT has an active and flourishing Reading Group, meeting weekly to listen to and discuss, presentations on the latest research in the field of Computer Science. Check the upcoming presentations and download previous presentations and papers from the archive.

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Robust Model Fitting

Numerous problems in Computer Vision can be reduced to fitting a generic model onto observed data or measurements. An example is identifying 2D shapes (e.g. lines, circles) in an image, where the model is a geometrical structure defined by a few parameters (e.g. slope and intercept, center and radius), and fitting the model onto the […]

Posted in Parameter Estimation, Research | Tagged |

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CVPR Best Paper Prize

Our paper Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm, Anders Eriksson and Anton van den Hengel, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010), June 2010, San Francisco, USA, IEEE 2009 won the CVPR’10 best paper award. There were almost 1750 submissions […]

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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 […]

Posted in 3D Modelling, Augmented Reality, Projects, Research | Tagged , , |

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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 […]

Posted in 3D Modelling, Machine Learning, Projects, Research, Tracking | Tagged , , , |

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